Signals and Systems using MATLAB

This new textbook in signals and systems provides a pedagogically rich approach to what can commonly be a mathematically dry subject. With features like historical notes, highlighted common mistakes, and applications in controls, communications, and signal processing, Chaparro helps students appreci...

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Bibliographic Details
Main Author: Chaparro, Luis
Format: eBook
Language:English
Published: Elsevier Science 2010
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
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245 0 0 |a Signals and Systems using MATLAB  |h [electronic resource]  |c Chaparro, Luis 
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300 |a 768 pages 
505 0 |a Front cover; Signals and Systems Using MATLAB®; Copyright; Dedication; Table of Contents; Preface; Acknowledgments; Part 1: Introduction; Chapter 0. From the Ground Up!; 0.1 Signals and Systems and Digital Technologies; 0.2 Examples of Signal Processing Applications; 0.2.1 Compact-Disc Player; 0.2.2 Software-Defined Radio and Cognitive Radio; 0.2.3 Computer-Controlled Systems; 0.3 Analog or Discrete?; 0.3.1 Continuous-Time and Discrete-Time Representations; 0.3.2 Derivatives and Finite Differences; 0.3.3 Integrals and Summations; 0.3.4 Differential and Difference Equations 
505 0 |a Part 2: Theory and Application of Continuous-Time Signals and SystemsChapter 1. Continuous-Time Signals; 1.1 Introduction; 1.2 Classification of Time-Dependent Signals; 1.3 Continuous-Time Signals; 1.3.1 Basic Signal Operations-Time Shifting and Reversal; 1.3.2 Even and Odd Signals; 1.3.3 Periodic and Aperiodic Signals; 1.3.4 Finite-Energy and Finite Power Signals; 1.4 Representation Using Basic Signals; 1.4.1 Complex Exponentials; 1.4.2 Unit-Step, Unit-Impulse, and Ram Signals; Unit-Step and Unit-Impulse Signals; Ramp Signal; Signal Generation with MATLAB 
505 0 |a Zero initial conditionsTime invariance; Analog mechanical systems; 2.3.4 Application of Superposition and Time Invariance; 2.3.5 Convolution Integral; 2.3.6 Causality; 2.3.7 Graphical Computation of Convolution Integral; 2.3.8 Interconnection of Systems-Block Diagrams; Cascade Connection; Parallel Connection; Feedback Connection; 2.3.9 Bounded-Input Bounded-Output Stability; 2.4 What Have We Accomplished? Where Do We Go from Here?; Problems; Chapter 3. The Laplace Transform; 3.1 Introduction; 3.2 The Two-Sided Laplace Transform; 3.2.1 Eigenfunctions of LTI Systems 
505 0 |a How to Obtain Difference Equations0.4 Complex or Real?; 0.4.1 Complex Numbers and Vectors; 0.4.2 Functions of a Complex Variable; Euler's Identity; 0.4.3 Phasors and Sinusoidal Steady State; 0.4.4 Phasor Connection; 0.5 Soft Introduction to MATLAB; 0.5.1 Numerical Computations; Creating Vectors and Matrices; Vectorial Operations; Using Built-In Functions and Creating Your Own; Creating Your Own Functions; More on Plotting; Saving and Loading Data; 0.5.2 Symbolic Computations; Derivatives and Differences; The Sinc Function and Integration; Ramp, Unit-Step, and Impulse Responses; Problems 
505 0 |a 1.4.3 Special Signals-the Sampling Signal and the Sinc1.4.4 Basic Signal Operations-Time Scaling, Frequency Shifting, and Windowing; 1.4.5 Generic Representation of Signals; 1.5 What Have We Accomplished? Where Do We Go from Here?; Problems; Chapter 2. Continuous-Time Systems; 2.1 Introduction; 2.2 System Concept; 2.2.1 System Classification; 2.3 LTI Continuous-Time Systems; 2.3.1 Linearity; The Op-Amp; 2.3.2 Time Invariance; AM Communication Systems; Vocal System; RLC Circuits; 2.3.3 Representation of Systems by Differential Equations; Initial Condition Different from Zero 
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520 |a This new textbook in signals and systems provides a pedagogically rich approach to what can commonly be a mathematically dry subject. With features like historical notes, highlighted common mistakes, and applications in controls, communications, and signal processing, Chaparro helps students appreciate the usefulness of the techniques described in the book. Each chapter contains a section with MatLab applications. Pedagogically rich introduction to signals and systems using historical notes, pointing out "common mistakes", and relating concepts to realistic examples throughout to motivate learning the material Introduces both continuous and discrete systems early, then studies each (separately) in more depth later Extensive set of worked examples and homework assignments, with applications to controls, communications, and signal processing throughout Provides review of all the background math necessary to study the subject MatLab applications in every chapter