LOW-PASS FILTERS (3dB frequency, Bode plots) POSITIVE FEEDBACK and OPERATIONAL AMPLIFIERS (Schmitt trigger comparator)

Size: px
Start display at page:

Download "LOW-PASS FILTERS (3dB frequency, Bode plots) POSITIVE FEEDBACK and OPERATIONAL AMPLIFIERS (Schmitt trigger comparator)"

Transcription

1 PH-35 LOW-PASS FILTES (3 frequency, Bode plots POSITIVE FEEDBAK and OPEATIONAL AMPLIFIES (Schmitt trigger comparator I. PUPOSE: This laboratory session pursues two ma objecties. A. La osa First, to build a low-pass filter and measure the put oltage (magnitude and phase as a function of its frequency. A log-log plot (Bode plot of the put signal s frequency will help familiarize with the concepts of 3 breakg pot and decrease of put leels per octae and per decade. Second, familiarize with the functiong of the operational amplifiers, and its application comparator circuits. omparators that uses no feedback and a Schmitt Trigger comparator (that uses positie feedback will be built. II. THEOETIAL ONSIDEATIONS: LOW PASS FILTES II. The scale of decibels omparison of signal amplitudes omparison of Power leels II. Sgle-stage low pass filter Output oltage (magnitude and phase II.3 Bode-plots and the 3 breakpot II.4 Voltage drop at high frequencies ( decibels sgle low-pass filter II.4A oll off per octae II.4B oll off per decade II.5 Dual-stage low pass filter II.. The scale of decibels omparison of signal amplitudes Let s consider two signals of amplitudes A and A respectiely. A The ratio of these two signals is: A Because we often we deal with ratios that change by many order of magnitude durg a testg procedure, the decibel scale is frequently used. By defition, A A log A A ( log, log. 3 log , log log A n n log A, log AB log A log B

2 A Example: A is equialent to +6 A because log 6 A We say, A is +6 relatie to A. Example: A signal A times as large as A is + A signal B one-tenth as large as B is - omparison of Power leels If P and P represent the power of two signal leels, their ratio decibels is defed by, P log P P P ( II. Low pass filter Fig. A low pass filter is obtaed with a resistor and a capacitor connected series while the put is taken across the capacitor. Output oltage (magnitude and phase In Fig., assumg a zero put impedance of the drig source, (which proides, and an fite put impedance of the loadg deice. (to which is connected, we obta, Z Z j j j j e where tan (3 That is, the put oltage lags the put oltage. The ratio of the put and put oltage magnitude is gien by, (4

3 II.3 Bode-plots and the 3 breakpot is the characteristic time response of the low-pass circuit. At = /: The ratio / drops to /. 7 In the decibels scale, this ratio is equal to log.7 = - 3; that is / = -3 The change phase is 45 o. V / V = / [ +( ] / V / V = tan - (- = Log (. Log( Log( Log( / /. Fig. Left: Frequency response of a low pass filter. ight: The right figure displays the same data but a logarithmic scale..7 V / V Log ( V/V Low-pass-Filter_DATA =.5 Bode plot V/V Low-pass-Filter_DATA In general (no just for an filter The frequency at which the put oltage drops by -3 is referred to as the -3 breakpot of a filter (or of any circuit that behaes as a filter.. II.4 Voltage drop at high frequencies ( decibels Let s express the ratio of oltages decibels. From expression (4 we obta, log log log At high frequencies,»/, log large That is, for large log log log (5

4 *Log(V / V *Log(V / V Log (V / V We expect, then, that at large frequencies (i.e. for» /, a plot of / s log should learly decrease with a slope of. This is fact erified the figure below. V / V = / [ +( ] / Low pass fillter = tan - (- F = Log Fig. 3 Lear decrease of the put signal ( decibels at high frequencies. II.4A oll-off per octae We are familiar with the fact that music, one octae the frequency is doubled. (6 Similarly our case of electrical signal changes (as described aboe, we can ask ourseles how much does the oltage ratio expression (5 changes ( decibels per octae? Answer: In one octae (a range where the frequency doubles the horizontal axis Fig. 4 changes by [ log ( - log( ] log.3. Sce the slope is -, a change the horizontal axis by.3 will gie a ertical change equal to - x.3 = -6 Accordgly, we say: In a simple low-pass filter the put oltage drops -6 per octae *Log(V/V Low-pass-Filter_DATA = One octae Log( Log( Fig. 4 oll-off pr octae. Left: Lear drop of the put/put oltage ration ( decibels (7 *Log(V/V Low-pass-Filter_DATA

5 Log (V / V (degrees at high frequencies a logarithmic scale. ight: Same data but a zoomed- scale. Equialently, a simple low-pass filter the put oltage decreases by a factor of per octae. (This follows from the fact that for ( A / A / one has ( A / A log(/ 6. II.4B Decibels per decade In a decade, the frequency changes by a factor of. (8 How much does the oltage ratio expression (5 changes ( decibels per decade? Answer: In one decade (a range where the frequency changes by a factor of the horizontal axis Fig. 5 changes by [ log ( - log( ] log. Sce the slope is -, a change of the horizontal axis will correspond to a ertical axis equal to - x = - Accordgly, we say: In a low-pass filter the put oltage drops - per decade (9 V / V = / [ +( ] / Low pass filter = tan - (- - - E =.5 Octae Decade (degrees -5 Fig. 5 esponse from a sgle-stage low-pass filter 3 6 -

6 Equialently, a simple low-pass filter the put oltage decreases by a factor of per decade. (8 [This follows from the fact that for ( A / A / one has ( A / A log(/.] II.5 Dual-stage low pass filter TASK: Derie an expression for terms of. Fig. 6 Two-stage low-pass filter. III. EXPEIMENTAL ONSIDEATIONS III. FILTE III.A Sgle-stage filter Implement a Low-Pass filter. (You may use =. F and = K; of course, feel free to try other alues. Use a signal generator to proide a susoidal put signal of ~ 4 mv amplitude, and check with the oscilloscope whether the put oltage leads or lags the put oltage. Suggestion: Monitor and the oscilloscope s channels and, respectiely. Make a Bode plot of the magnitude and phase of / as a function of the angular frequency. Make sure to get data oer seeral decades of frequency alues. To measure the phase, use the same technique used Experiment-. Determe experimentally the frequency at which the 3 breakg pot occurs. ompare your experimental results with the expected theoretical alue. Determe experimentally the change of the put signal per octae and per decade. Fig. 7 Low-pass filter.

7 III.B Two-stage low-pass filter. Implement two Low-Pass filters cascade. epeat the same measurement requested part III.A. Fig. 8 Two low-pass filters. Make a Bode plot of the magnitude and phase of / as a function of the angular frequency. Make sure to get data oer seeral decades of frequency alues. To measure the phase, use the same technique used Experiment-. Determe experimentally the frequency at which the 3 breakg pot occurs. ompare your experimental results with the expected theoretical alue. Determe experimentally the change of the put signal per octae and per decade.

8

9

EXPERIMENT 6 LOW-PASS FILTERS, 3dB BREAKPOINT and COMPARATORS

EXPERIMENT 6 LOW-PASS FILTERS, 3dB BREAKPOINT and COMPARATORS PH-35. La osa EXPEIMENT 6 LOW-PSS FILTES, 3 BEKPOINT and OMPTOS I. PUPOSE: This laboratory session pursues two ma objecties. First, to build a low-pass filter and measure the put oltage (magnitude and

More information

Electrical Building Blocks Electrical building blocks are characterized by their current-voltage (I-V) relationship.

Electrical Building Blocks Electrical building blocks are characterized by their current-voltage (I-V) relationship. Basic Electrical Measurements E80 /7/09 - Professor Sarah Harris Oeriew Electrical Buildg Blocks:, L, C Impedance: Z oltage Diision Experimental Plots Time Doma s. Bode Plots Instrumentation Signal generators

More information

Revision: August 21, E Main Suite D Pullman, WA (509) Voice and Fax

Revision: August 21, E Main Suite D Pullman, WA (509) Voice and Fax .7.: Frequency doma system characterization Revision: August, 00 E Ma Suite D Pullman, WA 9963 (09 334 6306 Voice and Fax Overview In previous chapters, we wrote the differential equation governg the relationship

More information

Lecture 4: Opamp Review. Inverting Amplifier (Finite A 0 )

Lecture 4: Opamp Review. Inverting Amplifier (Finite A 0 ) Lecture 4: Opamp eview Effect of fite open-loop ga, A Frequency dependence of open-loop ga Frequency dependence of closed-loop ga Output voltage and current saturation Output slew rate Offset voltage Input

More information

Lab #3: Operational Amplifiers

Lab #3: Operational Amplifiers Indiana U, Physics Dept (H.O. Meyer 7/06) Lab #3: Operational Amplifiers Goal: Learn how to use operational amplifiers (opamps) with various types of feedback ga control. Equipment: OP07 opamp, bread board,

More information

Intermodulation Distortion

Intermodulation Distortion /5/005 Intermodulation Distortion.doc / Intermodulation Distortion The db compression curve shows that amplifiers are only approximately lear. Actually, this should be obvious, as amplifiers are constructed

More information

Game Theory Solutions to Problem Set 11

Game Theory Solutions to Problem Set 11 Game Theory Solutions to Problem Set. A seller owns an object that a buyer wants to buy. The alue of the object to the seller is c: The alue of the object to the buyer is priate information. The buyer

More information

In Class Question. List what topics you d like to emphasize in the quiz review: (top three)

In Class Question. List what topics you d like to emphasize in the quiz review: (top three) In Class Question List what topics you d like to emphasize the quiz review: (top three) Combg resistors oltage divider Identiyg ilters (high and low req) Transer unctions (magnitude, phase) Determg resonant

More information

Modeling Logic Gates with Delay- Part#1

Modeling Logic Gates with Delay- Part#1 Modelg Logic Gates with Delay- Part#1 by George Lungu - The previous series of tutorials treated logic gates ideally with considerg propagation delays, havg perfect edges at the put (negligible rise time

More information

Operational Amplifier Stability. Collin Wells Texas Instruments HPA Linear Applications 2/22/2012

Operational Amplifier Stability. Collin Wells Texas Instruments HPA Linear Applications 2/22/2012 Operational Amplifier Stability Collin Wells Texas Instruments HPA Linear Applications 2/22/212 1 The Culprits Capacitive Loads! Reference Buffers! Cable/Shield Drive! MOSFET Gate Drive! Rg 1k Rf 2k Q1

More information

CGTA: Current Gain-based Timing Analysis for Logic Cells

CGTA: Current Gain-based Timing Analysis for Logic Cells GTA: urrent Ga-based Timg Analysis for Logic ells S. Nazarian, M. Pedram University of Shern alifornia EE-Systems, Los Angeles A 90089 T. L, E. Tuncer Magma Design Automation Santa lara, A 95054 rosstalk-aware

More information

All-pay auctions with risk-averse players

All-pay auctions with risk-averse players Int J Game Theory 2006) 34:583 599 DOI 10.1007/s00182-006-0034-5 ORIGINAL ARTICLE All-pay auctions with risk-aerse players Gadi Fibich Arieh Gaious Aner Sela Accepted: 28 August 2006 / Published online:

More information

THE ROYAL STATISTICAL SOCIETY HIGHER CERTIFICATE EXAMINATION MODULE 7

THE ROYAL STATISTICAL SOCIETY HIGHER CERTIFICATE EXAMINATION MODULE 7 THE ROYAL STATISTICAL SOCIETY HIGHER CERTIFICATE EXAMINATION NEW MODULAR SCHEME introduced from the examinations in 2007 MODULE 7 SECIMEN AER AND SOLUTIONS The time for the examination is 1½ hours. The

More information

Informative advertising under duopoly

Informative advertising under duopoly Informatie adertising under duopoly Scott McCracken June 6, 2011 Abstract We consider a two-stage duopoly model of costless adertising: in the first stage each firm simultaneously chooses the accuracy

More information

Online Appendix for The E ect of Diversi cation on Price Informativeness and Governance

Online Appendix for The E ect of Diversi cation on Price Informativeness and Governance Online Appendix for The E ect of Diersi cation on Price Informatieness and Goernance B Goernance: Full Analysis B. Goernance Through Exit: Full Analysis This section analyzes the exit model of Section.

More information

MLC at Boise State Logarithms Activity 6 Week #8

MLC at Boise State Logarithms Activity 6 Week #8 Logarithms Activity 6 Week #8 In this week s activity, you will continue to look at the relationship between logarithmic functions, exponential functions and rates of return. Today you will use investing

More information

Specific Objectives. Be able to: Apply graphical frequency analysis for data that fit the Log- Pearson Type 3 Distribution

Specific Objectives. Be able to: Apply graphical frequency analysis for data that fit the Log- Pearson Type 3 Distribution CVEEN 4410: Engineering Hydrology (continued) : Topic and Goal: Use frequency analysis of historical data to forecast hydrologic events Specific Be able to: Apply graphical frequency analysis for data

More information

Probability distributions relevant to radiowave propagation modelling

Probability distributions relevant to radiowave propagation modelling Rec. ITU-R P.57 RECOMMENDATION ITU-R P.57 PROBABILITY DISTRIBUTIONS RELEVANT TO RADIOWAVE PROPAGATION MODELLING (994) Rec. ITU-R P.57 The ITU Radiocommunication Assembly, considering a) that the propagation

More information

Math 1526 Summer 2000 Session 1

Math 1526 Summer 2000 Session 1 Math 1526 Summer 2 Session 1 Lab #2 Part #1 Rate of Change This lab will investigate the relationship between the average rate of change, the slope of a secant line, the instantaneous rate change and the

More information

Of the tools in the technician's arsenal, the moving average is one of the most popular. It is used to

Of the tools in the technician's arsenal, the moving average is one of the most popular. It is used to Building A Variable-Length Moving Average by George R. Arrington, Ph.D. Of the tools in the technician's arsenal, the moving average is one of the most popular. It is used to eliminate minor fluctuations

More information

NBER WORKING PAPER SERIES BIDDING WITH SECURITIES: AUCTIONS AND SECURITY DESIGN. Peter M. DeMarzo Ilan Kremer Andrzej Skrzypacz

NBER WORKING PAPER SERIES BIDDING WITH SECURITIES: AUCTIONS AND SECURITY DESIGN. Peter M. DeMarzo Ilan Kremer Andrzej Skrzypacz NBER WORKING PAPER SERIES BIDDING WITH SECURITIES: AUCTIONS AND SECURITY DESIGN Peter M. DeMarzo Ilan Kremer Andrzej Skrzypacz Working Paper 10891 http://www.nber.org/papers/w10891 NATIONAL BUREAU OF ECONOMIC

More information

Lecture 7 Tolerance and Risk

Lecture 7 Tolerance and Risk Lecture 7 Tolerance and Risk Problem Requirements Verifications Risk and Tolerance Analyses: The risk of the failure of specific system component is dependent on two variables, the consequence of the loss

More information

Relative Guarantees. Abstract. 1. Introduction

Relative Guarantees. Abstract. 1. Introduction The Genea Papers on Risk and Insurance Theory, 9: 87 9, 4 c 4 The Genea Association Relatie Guarantees SNORRE LINDSET snorre.lindset@iot.ntnu.no Norwegian Uniersity of Science and Technology, Department

More information

Discriminatory Information Disclosure

Discriminatory Information Disclosure Discriminatory Information Disclosure Li, Hao Uniersity of British Columbia Xianwen Shi Uniersity of Toronto First Version: June 2, 29 This ersion: May 21, 213 Abstract We consider a price discrimination

More information

The FedEx Problem (Working Paper)

The FedEx Problem (Working Paper) The FedEx Problem (Working Paper) Amos Fiat Kira Goldner Anna R. Karlin Elias Koutsoupias June 6, 216 Remember that Time is Money Abstract Benjamin Franklin in Adice to a Young Tradesman (1748) Consider

More information

All-Pay Auctions with Risk-Averse Players

All-Pay Auctions with Risk-Averse Players All-Pay Auctions with Risk-Aerse Players Gadi Fibich Arieh Gaious Aner Sela December 17th, 2005 Abstract We study independent priate-alue all-pay auctions with risk-aerse players. We show that: 1) Players

More information

Hurdle Rates and Project Development Efforts. Sunil Dutta University of California, Berkeley Qintao Fan University of California, Berkeley

Hurdle Rates and Project Development Efforts. Sunil Dutta University of California, Berkeley Qintao Fan University of California, Berkeley THE ACCOUNTING REVIEW Vol. 84, No. 2 2009 pp. 405 432 DOI: 10.2308/ accr.2009.84.2.405 Hurdle Rates and Project Deelopment Efforts Sunil Dutta Uniersity of California, Bereley Qintao Fan Uniersity of California,

More information

Auction Theory Lecture Note, David McAdams, Fall Bilateral Trade

Auction Theory Lecture Note, David McAdams, Fall Bilateral Trade Auction Theory Lecture Note, Daid McAdams, Fall 2008 1 Bilateral Trade ** Reised 10-17-08: An error in the discussion after Theorem 4 has been corrected. We shall use the example of bilateral trade to

More information

Payoff Scale Effects and Risk Preference Under Real and Hypothetical Conditions

Payoff Scale Effects and Risk Preference Under Real and Hypothetical Conditions Payoff Scale Effects and Risk Preference Under Real and Hypothetical Conditions Susan K. Laury and Charles A. Holt Prepared for the Handbook of Experimental Economics Results February 2002 I. Introduction

More information

Bijections for a class of labeled plane trees

Bijections for a class of labeled plane trees Bijections for a class of labeled plane trees Nancy S. S. Gu,2, Center for Combinatorics Nankai Uniersity Tianjin 0007 PR China Helmut Prodinger 2 Department of Mathematical Sciences Stellenbosch Uniersity

More information

Inmost industrialized economies, periods of above average inflation tend

Inmost industrialized economies, periods of above average inflation tend Economic Quarterly Volume 93, Number 4 Fall 2007 Pages 317 339 Eoling Inflation Dynamics and the New Keynesian Phillips Cure Andreas Hornstein Inmost industrialized economies, periods of aboe aerage inflation

More information

Loss Aversion and Insider Trading

Loss Aversion and Insider Trading 4 Loss Aersion and Insider Trading SAMUEL OUZAN * [Preliminary ersion. Please do not quote] First ersion, April 6 th 014 ABSTRACT This study analyses equilibrium trading strategies and market quality in

More information

arxiv: v1 [cs.lg] 6 Mar 2018

arxiv: v1 [cs.lg] 6 Mar 2018 Deep Information Networks Giulio Franzese, Monica Vist Dipartimento di Elettronica e Telecomunicazioni Politecnico di Toro, Italy giulio.franzese@polito.it, monica.vist@polito.it arxiv:1803.02251v1 [cs.lg]

More information

WFP Efficiency Analysis Guidance Materials Definitions, Concepts and Methodology. Contents

WFP Efficiency Analysis Guidance Materials Definitions, Concepts and Methodology. Contents WFP Efficiency Analysis Guidance Materials Definitions, Concepts and Methodology Robrecht Renard 1 Stage 1 & 2 Final Report 30 March 2013 Contents 1. Introduction 3 2. Definitions of effectieness and efficiency

More information

So What Orders Do Informed Traders Use?

So What Orders Do Informed Traders Use? So What Orders Do Informed Traders Use? Ron Kaniel Fuqua School of Business Duke Uniersity Durham, NC 27708 Email: ron.kaniel@duke.edu Hong Liu The Olin School of Business Washington Uniersity St. Louis,

More information

Expectations and market microstructure when liquidity is lost

Expectations and market microstructure when liquidity is lost Expectations and market microstructure when liquidity is lost Jun Muranaga and Tokiko Shimizu* Bank of Japan Abstract In this paper, we focus on the halt of discovery function in the financial markets

More information

Learning Curve Theory

Learning Curve Theory 7 Learning Curve Theory LEARNING OBJECTIVES : After studying this unit, you will be able to : l Understand, visualize and explain learning curve phenomenon. l Measure how in some industries and in some

More information

Efficient Dissolution of Partnerships and the Structure of Control

Efficient Dissolution of Partnerships and the Structure of Control Efficient Dissolution of Partnerships and the Structure of Control Emanuel Ornelas and John L. Turner January 29, 2004 Abstract In this paper, we study efficient dissolution of partnerships in a context

More information

CESifo Working Paper Series

CESifo Working Paper Series CESifo Working Paper Series DISORGANIZATION AND FINANCIAL COLLAPSE Dalia Marin Monika Schnitzer* Working Paper No. 339 September 000 CESifo Poschingerstr. 5 81679 Munich Germany Phone: +49 (89) 94-1410/145

More information

EENG473 Mobile Communications Module 3 : Week # (11) Mobile Radio Propagation: Large-Scale Path Loss

EENG473 Mobile Communications Module 3 : Week # (11) Mobile Radio Propagation: Large-Scale Path Loss EENG473 Mobile Communications Module 3 : Week # (11) Mobile Radio Propagation: Large-Scale Path Loss Practical Link Budget Design using Path Loss Models Most radio propagation models are derived using

More information

SiPM characterization report for the Muon Portal Project Device: SiPM type N on P - S/N. SPM10H5-60N-Y wf16 ST Microelectronics

SiPM characterization report for the Muon Portal Project Device: SiPM type N on P - S/N. SPM10H5-60N-Y wf16 ST Microelectronics OSSERVATORIO ASTROFISICO DI CATANIA SiPM characterization report for the Muon Portal Project Device: SiPM type N on P - S/N. SPM10H5-60N-Y223131-wf16 ST Microelectronics Osservatorio Astrofisico di Catania

More information

International Quota Transfer and Intermediate Goods

International Quota Transfer and Intermediate Goods International Quota Transfer and Intermediate Goods Ana-María Aldanondo E-mail: alda@unaarra.es Jaier Puertolas E-mail: puertolas@unaarra.es Paper prepared for presentation at the X th EAAE Congress Exploring

More information

PSpice with Mutual Inductance. Editing the Inductor Symbol. Using the K_Linear. EE230-Su05-Lecture 7 7 June by Henry L.

PSpice with Mutual Inductance. Editing the Inductor Symbol. Using the K_Linear. EE230-Su05-Lecture 7 7 June by Henry L. EE230Su05Lecture 7 7 June 2005 PSpice with Mutual nductance nductor dotting Edit the symbol library Mutual inductance Use K_Linear Linear transformer Use XFRM_LNEAR deal transformer Use XFRM_NONLNEAR 2

More information

The Directors have pleasure in presenting their Report and Audited Accounts for the year ended March 31, 2013.

The Directors have pleasure in presenting their Report and Audited Accounts for the year ended March 31, 2013. DIRECTORS REPORT The Directors hae pleasure in presenting their Report and Audited Accounts for the year ended March 31, 2013. 1. FINANCIAL RESULTS 2012-2013 in Lakhs 2011-2012 in Lakhs Gross Profit 8,957.25

More information

Quality Upgrades and (the Loss of) Market Power in a Dynamic Monopoly Model

Quality Upgrades and (the Loss of) Market Power in a Dynamic Monopoly Model Quality Upgrades and (the Loss of) Market Power in a Dynamic Monopoly Model James J. Anton Duke Uniersity Gary Biglaiser 1 Uniersity of North Carolina, Chapel Hill February 2007 PRELIMINARY- Comments Welcome

More information

8. Propositional Logic Natural deduction - negation. Solved problems

8. Propositional Logic Natural deduction - negation. Solved problems 8. Propositional Logic Natural deduction - negation Solved problems Problem: A B can be derived from (A B). (De Morgan law) Problem: A B can be derived from (A B). (De Morgan law) Let us first think intuitively

More information

Comments on Foreign Effects of Higher U.S. Interest Rates. James D. Hamilton. University of California at San Diego.

Comments on Foreign Effects of Higher U.S. Interest Rates. James D. Hamilton. University of California at San Diego. 1 Comments on Foreign Effects of Higher U.S. Interest Rates James D. Hamilton University of California at San Diego December 15, 2017 This is a very interesting and ambitious paper. The authors are trying

More information

EXTENDED SPECIFICATIONS MODEL PPM PRECISION DIGITAL MULTIMETER

EXTENDED SPECIFICATIONS MODEL PPM PRECISION DIGITAL MULTIMETER EXTENDED SPECIFICATIONS MODEL 8081 4 PPM PRECISION DIGITAL MULTIMETER Transmille Ltd DC Voltage Full Scale Resolution Input Impedance 90 Day 180 Day 2 Year ± (ppm Reading + ppm ) 100mV 120,000,000 1nV

More information

Understanding Health Care Reform. July 24, 2013 Presented by: Camry Blaising, RHU, REBC

Understanding Health Care Reform. July 24, 2013 Presented by: Camry Blaising, RHU, REBC Understanding Health Care Reform July 24, 2013 Presented by: Camry Blaising, RHU, REBC Welcome One-hour webinar Technical questions 800-263-6317 Participants are muted Use Question/Chat feature to submit

More information

Cranking Simulator for Automotive Applications

Cranking Simulator for Automotive Applications 2/13/2013 Matthias Ulmann Cranking Simulator for Automotive Applications Input 24V DC Output Adjustable by Microcontroller between 2..15V @ 50W 3 Cranking Pulses programmed: - DaimlerChrysler Engine Cranking

More information

IND AS 102: SHARE BASED PAYMENT. - CA Premal H Gandhi

IND AS 102: SHARE BASED PAYMENT. - CA Premal H Gandhi IND AS 102: SHARE BASED PAYMENT - CA Premal H Gandhi Objectie & Scope: Objectie: Specify the financial reporting by an entity when it undertakes a share based payment transaction. Scope: This standard

More information

ITM1010 Computer and Communication Technologies

ITM1010 Computer and Communication Technologies ITM omputer and ommunication Technologies Lecture #5 Part I: Introduction to omputer Technologies K-Map, ombination and Sequential Logic ircuits ITM 計算機與通訊技術 2 Product Product-Of Of-Sum onfiguration Sum

More information

BIASES OVER BIASED INFORMATION STRUCTURES:

BIASES OVER BIASED INFORMATION STRUCTURES: BIASES OVER BIASED INFORMATION STRUCTURES: Confirmation, Contradiction and Certainty Seeking Behavior in the Laboratory Gary Charness Ryan Oprea Sevgi Yuksel UCSB - UCSB UCSB October 2017 MOTIVATION News

More information

H&J Corporate Services (Cayman) Ltd.

H&J Corporate Services (Cayman) Ltd. H&J Corporate Serices (Cayman) Ltd. P.O. Box 866, Anderson Square Building Grand Cayman, KY1-1103, Cayman Islands Tel: +1 (345) 949-7555 Fax: +1 (345) 949-8492 E-mail: cayman@higgsjohnson.com www.hjcorporate.com

More information

Best Practices. for Treasury, Agency Debt, and Agency Mortgage- Backed Securities Markets. Revised May 2013

Best Practices. for Treasury, Agency Debt, and Agency Mortgage- Backed Securities Markets. Revised May 2013 Reised May 2013 Best Practices for Treasury, Agency Debt, and Agency Mortgage- Backed Securities Markets This document is aailable on the Treasury Market Practices Group website, www.newyorkfed.org/tmpg.

More information

TIME SERIES MODELS AND FORECASTING

TIME SERIES MODELS AND FORECASTING 15 TIME SERIES MODELS AND FORECASTING Nick Lee and Mike Peters 2016. QUESTION 1. You have been asked to analyse some data from a small convenience store. The owner wants to know if there is a pattern in

More information

VOLUME I M I C R O P H O N E S, H E A D S E T S & R E C E I V E R S S E L E C T I O N G U I D E

VOLUME I M I C R O P H O N E S, H E A D S E T S & R E C E I V E R S S E L E C T I O N G U I D E VOLUME I M I C R O P H O N E, H E A D E T & R E C E I V E R E L E C T I O N G U I D E A History of Excellence Challenge Electronics, Inc. is a world class supplier of high-performance sounding devices

More information

Non-linearities in Simple Regression

Non-linearities in Simple Regression Non-linearities in Simple Regression 1. Eample: Monthly Earnings and Years of Education In this tutorial, we will focus on an eample that eplores the relationship between total monthly earnings and years

More information

Venture Capitalist Screening Criteria and Associated Tools: Progressive Screening Matrix & Mean-IRR Index

Venture Capitalist Screening Criteria and Associated Tools: Progressive Screening Matrix & Mean-IRR Index 1 Venture Capitalist Screening Criteria and Associated Tools: Progressive Screening Matrix & Mean-IRR Index By Marvin Lai Partner, itm Ventures Inc enquiry@itmventures.com 2 EXECUTIVE SUMMARY... 3 1 INITIAL

More information

Transition Disclosures Template

Transition Disclosures Template 215 215 1 Directly issued qualifying CET1 capital instruments plus any related share premium 16,378 (11) 2 Retained earnings 39,464 (19) 3 Disclosed reseres 233 4 Directly issued capital subject to phase

More information

1 The ECN module. Note

1 The ECN module. Note Version 1.11.0 NOVA ECN tutorial 1 The ECN module The ECN is an optional module for the Autolab PGSTAT. The ECN module provides the means to perform Electrochemical Noise measurements (ECN). Electrochemical

More information

Volume Author/Editor: Richard B. Freeman and David A. Wise, eds. Volume URL:

Volume Author/Editor: Richard B. Freeman and David A. Wise, eds. Volume URL: This PDF is a selection from an out-of-print olume from the National Bureau of Economic Research Volume Title: The Youth Labor Market Problem: Its Nature, Causes, and Consequences Volume Author/Editor:

More information

MA 162: Finite Mathematics - Chapter 1

MA 162: Finite Mathematics - Chapter 1 MA 162: Finite Mathematics - Chapter 1 Fall 2014 Ray Kremer University of Kentucky Linear Equations Linear equations are usually represented in one of three ways: 1 Slope-intercept form: y = mx + b 2 Point-Slope

More information

Analysis of Partial Discharge using Phase-Resolved (n-q) Statistical Techniques

Analysis of Partial Discharge using Phase-Resolved (n-q) Statistical Techniques Analysis of Partial Discharge using Phase-Resolved (n-q) Statistical Techniques Priyanka M. Kothoke, Namrata R. Bhosale, Amol Despande, Dr. Alice N. Cheeran Department of Electrical Engineering, Veermata

More information

The Asymptotic Expansion Approach to the Valuation of Interest Rate Contingent Claims

The Asymptotic Expansion Approach to the Valuation of Interest Rate Contingent Claims he Asymptotic Expansion Approach to the Valuation of Interest Rate Contingent Claims Naoto Kunitomo and Akihiko akahashi August 1999 (Fourth Reision) Abstract We propose a new methodology for the aluation

More information

OBSOLETE. Features. Mechanical Data PNP PRE-BIASED SMALL SIGNAL SURFACE MOUNT TRANSISTOR

OBSOLETE. Features. Mechanical Data PNP PRE-BIASED SMALL SIGNAL SURFACE MOUNT TRANSISTOR PNP PRE-BIASED SMALL SIGNAL SURFAE MOUNT TRANSISTOR Obsolete Part Number Alternative Part Number DDTA4EA DDTA5EA DDTA3EA DDTA4EA DDTA43EA DDTA44EA Features Epitaxial Planar Die onstruction omplementary

More information

Jacob: The illustrative worksheet shows the values of the simulation parameters in the upper left section (Cells D5:F10). Is this for documentation?

Jacob: The illustrative worksheet shows the values of the simulation parameters in the upper left section (Cells D5:F10). Is this for documentation? PROJECT TEMPLATE: DISCRETE CHANGE IN THE INFLATION RATE (The attached PDF file has better formatting.) {This posting explains how to simulate a discrete change in a parameter and how to use dummy variables

More information

TIDA-00277: Automotive Cluster Chime Reference Design - Test Data

TIDA-00277: Automotive Cluster Chime Reference Design - Test Data TIDA-00277: Automotive Cluster Chime Reference Design - Test Data This document shares the tests results of the TPA6211A1-Q1 EVM connected to a speaker. This set up simulates the chime in an automotive

More information

INCENTIVES TO TAKE CARE UNDER CONTRIBUTORY AND COMPARATIVE FAULT

INCENTIVES TO TAKE CARE UNDER CONTRIBUTORY AND COMPARATIVE FAULT INCENTIVES TO TAKE CARE UNDER CONTRIBUTORY AND COMPARATIVE FAULT Boston Uniersity School of Law Law & Economics Paper No. 15-04 (February 13, 2015) Reised April 20, 2016 Benjamin G. Ogden Boston Uniersity,

More information

Laplace Transforms. Euler s Formula = cos θ + j sin θ e = cos θ - j sin θ

Laplace Transforms. Euler s Formula = cos θ + j sin θ e = cos θ - j sin θ Laplace Transforms ENGI 252 e jθ Euler s Formula = cos θ + j sin θ -jθ e = cos θ - j sin θ Euler s Formula jθ -jθ ( e + e ) jθ -jθ ( ) < a > < b > Now add < a > and < b > and solve for cos θ 1 cos θ =

More information

Lecture 3a. Review Chapter 10 Nise. Skill Assessment Problems. G. Hovland 2004

Lecture 3a. Review Chapter 10 Nise. Skill Assessment Problems. G. Hovland 2004 METR4200 Advanced Control Lecture 3a Review Chapter 10 Nise Skill Assessment Problems G. Hovland 2004 Skill-Assessment Exercise 10.1 a) Find analytical expressions for the magnitude and phase responses

More information

Graphing Calculator Appendix

Graphing Calculator Appendix Appendix GC GC-1 This appendix contains some keystroke suggestions for many graphing calculator operations that are featured in this text. The keystrokes are for the TI-83/ TI-83 Plus calculators. The

More information

Diego Mendez-Carbajo Illinois Wesleyan University, Economics Department November 2016

Diego Mendez-Carbajo Illinois Wesleyan University, Economics Department November 2016 Diego Mendez-Carbajo Illinois Wesleyan University, Economics Department November 2016 Introduction Student Learning Goals Thinking like an economist Siegfried, J., Bartlett, R., Hansen, L., (1991), The

More information

Effect of Trading Halt System on Market Functioning: Simulation Analysis of Market Behavior with Artificial Shutdown *

Effect of Trading Halt System on Market Functioning: Simulation Analysis of Market Behavior with Artificial Shutdown * Effect of Trading Halt System on Market Functioning: Simulation Analysis of Market Behavior with Artificial Shutdown * Jun Muranaga Bank of Japan Tokiko Shimizu Bank of Japan Abstract This paper explores

More information

Part I: Technical Report. Research Report. Asep Suryahadi Wenefrida Widyanti Daniel Perwira Sudarno Sumarto. Chris Elbers. Menno Pradhan.

Part I: Technical Report. Research Report. Asep Suryahadi Wenefrida Widyanti Daniel Perwira Sudarno Sumarto. Chris Elbers. Menno Pradhan. Research Report Asep Suryahadi Wenefrida Widyanti Daniel Perwira Sudarno Sumarto (SMERU ) Chris Elbers (Vrije Uniersity, Amsterdam) Menno Pradhan (World Bank) Part I: Technical Report May 2003 The findings,

More information

SCHEDULE OF FEES OF INFORMATION PRODUCTS

SCHEDULE OF FEES OF INFORMATION PRODUCTS SCHEDULE OF FEES OF INFORMATION PRODUCTS Version number Effective date/date of modification I/2005 01 January 2005 I/2007 01 January 2007 II/2007 01 November 2007 I/2008 01 January 2008 I/2009 01 January

More information

$0.00 $0.50 $1.00 $1.50 $2.00 $2.50 $3.00 $3.50 $4.00 Price

$0.00 $0.50 $1.00 $1.50 $2.00 $2.50 $3.00 $3.50 $4.00 Price Orange Juice Sales and Prices In this module, you will be looking at sales and price data for orange juice in grocery stores. You have data from 83 stores on three brands (Tropicana, Minute Maid, and the

More information

E-322 Muhammad Rahman CHAPTER-3

E-322 Muhammad Rahman CHAPTER-3 CHAPTER-3 A. OBJECTIVE In this chapter, we will learn the following: 1. We will introduce some new set of macroeconomic definitions which will help us to develop our macroeconomic language 2. We will develop

More information

A Different Approach of Tax Progressivity Measurement

A Different Approach of Tax Progressivity Measurement MPRA Munich Personal RePEc Archive A Different Approach of Tax Progressivity Measurement Florije Govori Faculty of Economics, University of Prizren, Shkronjat 1, 20000 Prizren, Republic of Kosova January

More information

FINAL CLOSEOUT REPORT

FINAL CLOSEOUT REPORT K:\IAC\AGreer\SHARE\6901-LGA Task Orders\To_008 Armenia LGA \Products\Baseline Study\06901-008_Closeout.Rpt.doc FINAL CLOSEOUT REPORT Prepared for Prepared by Mr. Samuel L. Coxson Chief of Party The Urban

More information

Intraday Trading Technique

Intraday Trading Technique Intraday Trading Technique 1. Download video lecture with live intraday trade proof from below link http://www.screencast.com/t/1qcoc0cmallf 2. Free intraday trading gann angle calculator http://www.smartfinancein.com/gann-anglecalculator.php

More information

MACROECONOMICS - EXAM IV

MACROECONOMICS - EXAM IV MACROECONOMICS - EXAM IV Fall 2004 G. Garesché 1. a. Define a speculative bubble. What conditions must exist for a speculative bubble to occur? Give two examples of speculative bubbles which have occurred

More information

Short-Run Cost Minimization and Capacity Utilization of Regional Public Hospitals in South Korea

Short-Run Cost Minimization and Capacity Utilization of Regional Public Hospitals in South Korea Modern Economy, 205, 6, 2-29 Published Online anuary 205 in SciRes. http://www.scirp.org/ournal/me http://dx.doi.org/0.4236/me.205.6003 Short-Run Cost Minimization and Capacity Utilization of Regional

More information

The Value of the Freezeout Option

The Value of the Freezeout Option 1 The Value of the Freezeout Option Zohar Goshen and Zi Wiener The Hebrew Uniersity of Jerusalem Jerusalem, 91905 ISRAEL msgoshen@mscc.huji.ac.il mswiener@mscc.huji.ac.il Introduction According to Delaware

More information

Auction Theory. Philip Selin. U.U.D.M. Project Report 2016:27. Department of Mathematics Uppsala University

Auction Theory. Philip Selin. U.U.D.M. Project Report 2016:27. Department of Mathematics Uppsala University U.U.D.M. Project Report 2016:27 Auction Theory Philip Selin Examensarbete i matematik, 15 hp Handledare: Erik Ekström Examinator: Veronica Crispin Quinonez Juni 2016 Department of Mathematics Uppsala Uniersity

More information

PMT High Voltage Power Supply Status

PMT High Voltage Power Supply Status PMT High Voltage Power Supply Status Nobuyoshi Kitamura University of Wisconsin-Madison Overview PMT HV Base Board Digital Interface Analog Interface Power Digital control PMT Anode signal High voltage

More information

Quality, Upgrades and Equilibrium in a Dynamic Monopoly Market

Quality, Upgrades and Equilibrium in a Dynamic Monopoly Market Quality, Upgrades and Equilibrium in a Dynamic Monopoly Market James J. Anton and Gary Biglaiser August, 200 Abstract We examine an in nite horizon model of quality growth for a durable goods monopoly.

More information

Answers to Questions: Chapter 8

Answers to Questions: Chapter 8 Answers to Questions in Textbook 1 Answers to Questions: Chapter 8 1. In microeconomics, the demand curve shows the various quantities of a specific product that a consumer wants at various prices for

More information

RISE. RICE INITIATIVE for the STUDY of ECONOMICS. RISE Working Paper The Future of Long-term LNG Contracts by Peter R.

RISE. RICE INITIATIVE for the STUDY of ECONOMICS. RISE Working Paper The Future of Long-term LNG Contracts by Peter R. RISE RICE INITIATIVE for the STUDY of ECONOMICS RISE Working Paper 14-022 The Future of Long-term LNG Contracts by Peter R. Hartley Department of Economics Baker Hall, MS22 6100 Main Street, Houston, Texas

More information

Chapter 10 3/19/2018. AGGREGATE SUPPLY AND AGGREGATE DEMAND (Part 1) Objectives. Aggregate Supply

Chapter 10 3/19/2018. AGGREGATE SUPPLY AND AGGREGATE DEMAND (Part 1) Objectives. Aggregate Supply Chapter 10 AGGREGATE SUPPLY AND AGGREGATE DEMAND (Part 1) Objectives Explain what determines aggregate supply in the long run and in the short run Explain what determines aggregate demand Explain how real

More information

SELFIS: A Short Tutorial

SELFIS: A Short Tutorial SELFIS: A Short Tutorial Thomas Karagiannis (tkarag@csucredu) November 8, 2002 This document is a short tutorial of the SELF-similarity analysis software tool Section 1 presents briefly useful definitions

More information

Revisiting the Valuation of Deposit Insurance. Chuang-Chang Chang, San-Lin Chung, Ruey-Jenn Ho, and Yu-Jen Hsiao 1. Abstract

Revisiting the Valuation of Deposit Insurance. Chuang-Chang Chang, San-Lin Chung, Ruey-Jenn Ho, and Yu-Jen Hsiao 1. Abstract Reisiting the Valuation of Deposit Insurance Chuang-Chang Chang, San-Lin Chung, Ruey-Jenn Ho, and Yu-Jen Hsiao Abstract his paper proposes a framework for pricing deposit insurance in which we take the

More information

LABORATORY EXERCISE 3b PROCESS DYNAMIC CHARACTERISTICS

LABORATORY EXERCISE 3b PROCESS DYNAMIC CHARACTERISTICS Date: Name: LABORATORY EXERCISE 3b PROCESS DYNAMIC CHARACTERISTICS OBJECTIVE: To become familiar with various forms of process dynamic characteristics, and to learn a method of constructing a simple process

More information

Commonwealth Care FY2013 Procurement Results

Commonwealth Care FY2013 Procurement Results Commonwealth Care FY2013 Procurement Results Jean Yang Chief Financial Officer Stephanie Chrobak Director of Program Management Board of Directors Meeting April 12, 2012 FY2013 Challenge Commonwealth Care

More information

An Overview of the ZMA : The Superior Moving Average Page 2. ZMA Indicator: Infinite Flexibility and Maximum Adaptability Page 4

An Overview of the ZMA : The Superior Moving Average Page 2. ZMA Indicator: Infinite Flexibility and Maximum Adaptability Page 4 An Overview of the ZMA : The Superior Moving Average Page 2 ZMA Indicator: Infinite Flexibility and Maximum Adaptability Page 4 ZMA PaintBar: Moving Average Color-Coding Page 5 Responsiveness and Inertia:

More information

University of California, Davis Department of Economics Giacomo Bonanno. Economics 103: Economics of uncertainty and information PRACTICE PROBLEMS

University of California, Davis Department of Economics Giacomo Bonanno. Economics 103: Economics of uncertainty and information PRACTICE PROBLEMS University of California, Davis Department of Economics Giacomo Bonanno Economics 03: Economics of uncertainty and information PRACTICE PROBLEMS oooooooooooooooo Problem :.. Expected value Problem :..

More information

Contents. Introduction

Contents. Introduction Getting Started Introduction O&M Profiler User Guide (v6) Contents Contents... 1 Introduction... 2 Logging In... 2 Messages... 3 Options... 4 Help... 4 Home Screen... 5 System Navigation... 5 Dashboard...

More information

Quality, Upgrades and Equilibrium in a Dynamic Monopoly Market

Quality, Upgrades and Equilibrium in a Dynamic Monopoly Market Quality, Upgrades and Equilibrium in a Dynamic Monopoly Market James J. Anton and Gary Biglaiser April 23, 200 Abstract We examine an in nite horizon model of quality growth for a durable goods monopoly.

More information

Trade Finance in a Liquidity Crisis

Trade Finance in a Liquidity Crisis Policy Research Working Paper 5136 WPS5136 Trade Finance in a Liquidity Crisis Tore Ellingsen JonasVlachos Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Public

More information

Amortisation: What a killer

Amortisation: What a killer Amortisation: What a killer Student Worksheet 7 8 9 10 11 12 TI-Nspire CAS Investigation Student 90 min Introduction In its original meaning, amortisation means to kill, so the amortisation of a loan can

More information