EE 3CL4‚ §9 1 / 30 Tim Davidson Frequency Domain Approach to Compensator Design Lead Compensators Lag Compensators EE3CL4: Introduction to Linear Control Systems Section 9: Design of Lead and Lag Compensators using Frequency Domain Techniques Tim Davidson McMaster University Winter 2013 EE 3CL4‚ §9 2 / 30 Outline Tim Davidson Frequency Domain Approach to Compensator Design Lead Compensators 1 Frequency Domain Approach to Compensator Design Lag Compensators
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Autoregressive Models The autoregressive model is one of a group of linear prediction formulas that attempt to predict an output y[n] of a system based on the previous outputs ( y[n-1]‚y[n-2]...) and inputs ( x[n]‚ x[n-1]‚ x[n-2]...). Deriving the linear prediction model involves determining the coeffiecients a1‚a2‚.. and b0‚b1‚b2‚... in the equation: ye[n] (estimated) = a1*y[n-1] + a2*y[n-2]... + b0*x[n] + b1*x[n-1] + ... Note the REMARKABLE similarity between the prediction formula and the
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Difference between Digital and Analog Signals: Data communication is used every day to deliver data to external devices. Digital and analog signals are both still used for standard phone lines‚ but analog signals are now almost non-existent in households. Today digital signals are definitely more widely used over analog because the amount of people who use cell phones over standard telephones. Analog provides richer quality sound over digital‚ but digital has better clarity. An analog signal is continuous
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Data Base Dynamic Modeling Summer Semester 2011 Assignment Process System Engineering (PSE) Solution Identify Continuous and ARX models Name: Hossein Sure Name: ShirGir Matr.Nr. 1 146074 Hossein ShirGir‚ 146074 ‚ Dortmund ‚Germany a) Identify continuous models that match the observed output. Please proceed with the following steps: 1- Consider that the continuous models should be built as products of the following four transfer functions: For starting I ran the program
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Digital Image Processing Second Edition Instructorzs Manual Rafael C. Gonzalez Richard E. Woods Prentice Hall Upper Saddle River‚ NJ 07458 www.prenhall.com/gonzalezwoods or www.imageprocessingbook.com ii Revision history 10 9 8 7 6 5 4 3 2 1 c Copyright °1992-2002 by Rafael C. Gonzalez and Richard E. Woods Preface This manual contains detailed solutions to all problems in Digital Image Processing‚ 2nd Edition. We also include a suggested set of guidelines for using
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CONTENTS Declaration Introduction Image Image Processing What Is The Use of Digital Image Processing? Types Of Processing Steps Involving Digital Image Processing Components Of Digital Image Processing Applications Conclusion Bibliography
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The Brain Fingerprinting Through Digital Electroencephalography Signal Technique ABSTRACT A brain computer interaction has been developed to record the brain signal / electric activity through Digital Electroencephalography. The Brain Fingerprinting is a advanced computer-based technology to determine the falsely accused innocent suspects of a crime accurately and scientifically by measuring brain-wave responses to crime-relevant words or pictures presented on a computer screen. By using
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i An Introduction to Digital Image Processing with Matlab Notes for SCM2511 Image Processing 1 Alasdair McAndrew School of Computer Science and Mathematics Victoria University of Technology ii CONTENTS Contents 1 Introduction 1.1 Images and pictures . . . . . 1.2 What is image processing? . 1.3 Images and digital images . 1.4 Some applications . . . . . . 1.5 Aspects of image processing 1.6 An image processing task . 1.7 Types of digital images . . . 1.8 Image File Sizes . . . . . . . 1.9 Image
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however‚ with the personal encouragement and backing by the president of the company‚ Gary Dorr‚ she accepted. As the project manager‚ Monica had access and control over information such as reporting and data supporting the idea of purchasing a digital signal processor from an outside vendor. She also had information about the changes of customer needs and the competitor’s reactions to the changes. Therefore‚ her colleagues needed to depend on her to solve some of the problems they faced. This gave
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Monica Ashley’s Case Analysis Monica Ashley’s case is a very conclusive example of how the correct use of power and influence in management is as important as‚ and sometimes even more important than‚ having all the right answers and being able to back them up with data. Monica Ashley is a brilliant employee‚ and a very good Project Manager. She deserves a lot of credit for being able to complete the project‚ even though she has been removed towards the end. Her ability to concentrate on her work
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