Cart
Free US shipping over $10
Proud to be B-Corp

Analog and Digital Signal Processing Ashok Ambardar (Michigan Technological University)

Analog and Digital Signal Processing By Ashok Ambardar (Michigan Technological University)

Analog and Digital Signal Processing by Ashok Ambardar (Michigan Technological University)


$8.41
Condition - Good
Only 4 left

Summary

This text teaches basic principles and applications of signals, systems, transforms and filters, using both a visual and a mathematical approach. Its ultimate goal is to develop in the reader a thorough understanding of time-domain and frequency-domain relationships.

Faster Shipping

Get this product faster from our US warehouse

Analog and Digital Signal Processing Summary

Analog and Digital Signal Processing by Ashok Ambardar (Michigan Technological University)

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 (R) 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 chapter.

Analog and Digital Signal Processing Reviews

LIST OF TABLES / PREFACE / FROM THE PREFACE TO THE FIRST EDITION 1. OVERVIEW Introduction / Signals / Systems / The Frequency Domain / From Concept to Application 2. 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 3. 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 Theorem / Random Signals / Problems 4. 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 5. 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 6. 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 7. 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 8. 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 9. 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 10. MODULATION Scope and Objectives / Amplitude Modulation / Single-Sideband AM / Angle Modulation / Wideband Angle Modulation / Demodulation of FM Signals / The Hilbert Transform / Problems 11. 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 12. 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 13. 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 14. 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 15. THE DISCRETE-TIME FOURIER TRANSFORM Scope and Objectives / The Discrete-Time Fourier Transform / Connections: The DTFT and the Fourier Transform / Properties of the DTFT / The Transfer Functions / System Analysis Using the DTFT / Connections / Ideal Filters / Some Traditional and Non-traditional Filters / Frequency Response of Discrete Algorithms / Oversampling and Sampling Rate Conversion / Problems 16. THE DFT AND FFT Scope and Objectives / Introduction / Properties of the DFT / Connections / Approximating the DTFT by the DFT / The DFT of Periodic Signals / Spectral Smoothing by Time Windows / Applications in Signal Processing / Spectrum Estimation / Matrix Formulation of the DFT and IDFT / The FFT / Why Equal Lengths for the DFT and IDFT? / Problems 17. THE Z-TRANSFORM Scope and Objectives / The Two-Sided z-Transform / Properties of the z-Transform / Poles, Zeros, and the z-Plane / The Transfer Function / The Inverse z-Transform / The One-Sided z-Transform / The z-Transform and System Analysis / Frequency Response / Connections / Problems 18. APPLICATIONS OF THE Z-TRANSFORM Scope and Objectives / Transfer Function Realization / Interconnected Systems / Minimum-Phase Systems / The Frequency Response: A Graphical Interpretation / Application-Oriented Examples / Allpass Filters / Application-Oriented Examples: Digital Audio Effects / Problems 19. IIR DIGITAL FILTERS Scope and Objectives / Introduction / IIR Filter Design / Response and Matching / The Matched z-Transform for Factored Forms / Mappings from Discrete Algorithms / The Bilinear Transformation / Spectral Transformations for IIR Filters / Design Recipe for IIR Filters / Problems 20. FIR DIGITAL FILTERS Scope and Objectives / Symmetric Sequences and Linear Phase / Window-Based Design / Half-Band FIR Filters / FIR Filter Design by Frequency Sampling / Design of Optimal Linear-Phase FIR Filters / Application: Multistage Interpolation and Decimation / Maximally Flat FIR Filters / FIR Differentiators and Hilbert Transformers / Least Squares and Adaptive Signal Processing / Problems 21. MATLAB(R) EXAMPLES Introduction / ADSP Toolbox and Its Installation / MATLAB Tips and Pointers / Graphical User Interface Programs / The ADSP Toolbox / Examples of MATLAB Code / REFERENCES / INDEX

About Ashok Ambardar (Michigan Technological University)

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.

Table of Contents

LIST OF TABLES / PREFACE / FROM THE PREFACE TO THE FIRST EDITION 1. OVERVIEW Introduction / Signals / Systems / The Frequency Domain / From Concept to Application 2. 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 3. 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 Theorem / Random Signals / Problems 4. 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 5. 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 6. 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 7. 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 8. 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 9. 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 10. MODULATION Scope and Objectives / Amplitude Modulation / Single-Sideband AM / Angle Modulation / Wideband Angle Modulation / Demodulation of FM Signals / The Hilbert Transform / Problems 11. 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 12. 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 13. 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 14. 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 15. THE DISCRETE-TIME FOURIER TRANSFORM Scope and Objectives / The Discrete-Time Fourier Transform / Connections: The DTFT and the Fourier Transform / Properties of the DTFT / The Transfer Functions / System Analysis Using the DTFT / Connections / Ideal Filters / Some Traditional and Non-traditional Filters / Frequency Response of Discrete Algorithms / Oversampling and Sampling Rate Conversion / Problems 16. THE DFT AND FFT Scope and Objectives / Introduction / Properties of the DFT / Connections / Approximating the DTFT by the DFT / The DFT of Periodic Signals / Spectral Smoothing by Time Windows / Applications in Signal Processing / Spectrum Estimation / Matrix Formulation of the DFT and IDFT / The FFT / Why Equal Lengths for the DFT and IDFT? / Problems 17. THE Z-TRANSFORM Scope and Objectives / The Two-Sided z-Transform / Properties of the z-Transform / Poles, Zeros, and the z-Plane / The Transfer Function / The Inverse z-Transform / The One-Sided z-Transform / The z-Transform and System Analysis / Frequency Response / Connections / Problems 18. APPLICATIONS OF THE Z-TRANSFORM Scope and Objectives / Transfer Function Realization / Interconnected Systems / Minimum-Phase Systems / The Frequency Response: A Graphical Interpretation / Application-Oriented Examples / Allpass Filters / Application-Oriented Examples: Digital Audio Effects / Problems 19. IIR DIGITAL FILTERS Scope and Objectives / Introduction / IIR Filter Design / Response and Matching / The Matched z-Transform for Factored Forms / Mappings from Discrete Algorithms / The Bilinear Transformation / Spectral Transformations for IIR Filters / Design Recipe for IIR Filters / Problems 20. FIR DIGITAL FILTERS Scope and Objectives / Symmetric Sequences and Linear Phase / Window-Based Design / Half-Band FIR Filters / FIR Filter Design by Frequency Sampling / Design of Optimal Linear-Phase FIR Filters / Application: Multistage Interpolation and Decimation / Maximally Flat FIR Filters / FIR Differentiators and Hilbert Transformers / Least Squares and Adaptive Signal Processing / Problems 21. MATLAB (R) EXAMPLES Introduction / ADSP Toolbox and Its Installation / MATLAB Tips and Pointers / Graphical User Interface Programs / The ADSP Toolbox / Examples of MATLAB Code / REFERENCES / INDEX

Additional information

CIN053495409XG
9780534954093
053495409X
Analog and Digital Signal Processing by Ashok Ambardar (Michigan Technological University)
Used - Good
Paperback
Cengage Learning, Inc
19990212
832
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in good condition, but if you are not entirely satisfied please get in touch with us

Customer Reviews - Analog and Digital Signal Processing