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Analog and Digital Signal Processing

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ISBN-10: 053495409X

ISBN-13: 9780534954093

Edition: 2nd 1999 (Revised)

Authors: Ashok Ambardar

List price: $182.95
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Ambardar's proven text teaches the basic principles and applications of signals, systems, transforms and filters, using both a visual and mathematical approach. This book helps readers develop a thorough understanding of time-domain and frequency-domain relationships, encouraging them to think clearly in both domains and switch easily from one to the other. Bound into each text is a disk with a set of powerful software routines running under MATLAB that can be used for reinforcing and visualizing concepts as well as for problem solving and advanced design. The extensively revised and reorganized Second Edition incorporates new practical applications and design-oriented examples in every…    
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Book details

List price: $182.95
Edition: 2nd
Copyright year: 1999
Publisher: Course Technology
Publication date: 2/12/1999
Binding: Paperback
Pages: 832
Size: 8.50" wide x 10.00" long x 1.50" tall
Weight: 3.652
Language: English

Dr. Ashok K. Ambardar, Professor at Michigan Technological University, attended the Indian Institute of Technology, Delhi, where he obtained a BT in Electrical Engineering in 1967. He went on to the Indian Institute of Science, Bangalore, and earned an ME in Electronic Communications. Ambardar came to the US in 1969 and obtained an MS in Electrical Engineering from the University of Wisconsin-Madison and a PhD from the University of Wyoming. He joined the Michigan Tech faculty in 1976 and has taught in the Department of Electrical and Computer Engineering ever since.

List of tables
Preface
From the preface to the first edition
OVERVIEW Introduction
Signals
Systems
The Frequency Domain
From Concept to Application
Analog signals Scope and Objectives
Signals
Operations on Signals
Signal Symmetry
Harmonic Signals and Sinusoids
Signal Symmetry
Harmonic Signals and Sinusoids
Commonly Encountered Signals
The Impulse Function
The Doublet
Moments
Problems
Discrete signals Scope and Objectives
Discrete Signals
Operations on Discrete Signals
Decimation and Interpolation
Common Discrete Signals
Discrete-Time Harmonics and Sinusoids
Aliasing and the Sampling The orem
Random Signals
Problems
Analog systems Scope and Objectives
Introduction
System Classification
Analysis of LTI Systems
LTI Systems Described by Differential Equations
The Impulse Response of LTI Systems
System Stability
Application-Oriented Examples
Problems
Discrete-time systems Scope and Objectives
Discrete-Time Operators
System Classification
Digital Filters
Digital Filters Described by Difference Equations
Impulse Response of Digital Filters
Stability of Discrete-Time LTI Systems
Connections: System Representation in Various Forms
Application-Oriented Examples
Problems
Continuous convolution Scope and Objectives
Introduction
Convolution of Some Common Signals
Some Properties of Convolution
Convolution by Ranges (Graphical Convolution)
Stability and Causality
The Response to Periodic Inputs
Periodic Convolution
Connections: Convolution and Transform Methods
Convolution Properties Based on Moments
Correlations
Problems
Discrete convolution Scope and Objectives
Discrete Convolution
Convolution Properties
Convolution of Finite Sequences
Stability and Causality of LTI Systems
System Response to Periodic Inputs
Periodic Convolution
Connections: Discrete Convolution and Transform Methods
Deconvolution
Discrete Correlation
Problems
Fourier series Scope and Objectives
Fourier Series: A First Look
Simplifications Through Signal Symmetry
Parseval''s Relation and the Power in Periodic Signals
The Spectrum of Periodic Signals
Properties of Fourier Series
Signal Reconstruction and the Gibbs Effect
System Response to Periodic Inputs
Application-Oriented Examples
The Dirichlet Kernel and the Gibbs Effect
The Fourier Series, Orthogonality, and Least Squares
Existence, Convergence, and Uniqueness
A Historical Perspective
Problems
The fourier transform Scope and Objectives
Introduction
Fourier Transform Pairs and Properties
System Analysis Using the Fourier Transform
Frequency Response of Filters
Energy and Power Spectral Density
Time-Bandwidth Measures
Problems
Modulation Scope and Objectives
Amplitude Modulation
Single-Sideband AM
Angle Modulation
Wideband Angle Modulation
Demodulation of FM Signals
The Hilbert Transform
Problems
The laplace transform Scope and Objectives
The Laplace Transform
Properties of the Laplace Transform
Poles and Zeros of the Transfer Function
The Inverse Laplace Transform
The s-plane and BIBO Stability
The Laplace Transform and System Analysis
Connections
Problems
Applications of the laplace transform Scope and Objectives
Frequency Response
Minimum-Phase Filters
Bode Plots
Performance Measures
Feedback
Application of Feedback: the Phase-Locked Loop Problems
Analog filters Scope and Objectives
Introduction
The Design Process
The Butterworth Filter
The Chebyshev Approximation
The Inverse Chebyshev Approximation
The Elliptic Approximation
The Bessel Approximation
Problems
Sampling and quantization Scope and Objectives
Ideal Sampling
Sampling, Interpolation, and Signal Recovery
Quantization
Digital Processing of Analog Signals
Compact Disc Digital Audio
Dynamic Range Processors
Problems
The discrete-time fourier transform Scope and Objectives The