Analog and Digital Signal Processing

Name: Analog and Digital Signal Processing
Price: 10.76 USD
Availability: InStock
ISBN: 9780534954093

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…

Book details

List price: $182.95
Edition: 2nd
Copyright year: 1999
Publisher: Course Technology
Publication date: 2/12/1999
Binding: Paperback
Pages: 832
Size: 8.11" wide x 9.17" long x 1.61" tall
Weight: 3.674
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