Discrete-time Signal Processing: An Algebraic Approach (Advanced Textbooks in Control and Signal Processing)

Williamson, Darrell

ISBN 10: 1852331615 / ISBN 13: 9781852331610

Editore: Springer, 1999

Used - Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre.' Ex-library, but has been well cared for. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Codice articolo Z1-M-010-01293

Riassunto:

This text is intended to be used by postgraduate and advanced undergraduate students in the study of discrete-time integrals. It focuses on an algebraic approach to the analysis and design of discrete-time signal processing algorithms which renders the Laplace and z-transforms redundant for this purpose. While the material on difference equations is developed slowly, from an elementary base, it is assumed that the reader has a working knowledge of complex numbers and has completed a first course in vector and matrix analysis. Various subjects and problems are discussed including: - The solution of both difference and state space equations - Provides an alternative approach to the use of Laplace and z-transformations - Linear-algebraic ideas for the analysis and design of linear signals - The Design of recursive (IIR) and nonrecursive (FIR) digital filters - The design of classical Butterworth, Chebyshev and Elliptical analog filters and the transformation of analog filters - The Discrete Fourier Transform and its implementation through the Fast Fourier Transform - Applications of least-squares analysis to the design of linear phase FIR filters, convolution (FIR and IIR) signal models, and state space signal models - Design of digital filters via discrete approximation of analog filters, digital transformation of analog filter, and digital transformation of digital filter - Finite wordlength (FWL) implementation of IIR digital filters including the basic properties of both fixed and floating point arithmetic representations, implication of arithmetic quantizations and filter structure on accuracy and speed of real-time implementation - Written with clarity and containing the latest, detailed results based on comprehensive research, this book is an important textbook for all students interested in discrete-time signals - The text supports the use of algebra-based software packages, such as MATLAB .

Contenuti: 1. Introduction.- 1.1 Digital and Analog Signals.- 1.2 Digital-to-Analog Conversion.- 1.3 Analog-to-Digital Conversion.- 1.4 Signal Processing.- Summary.- Exercises.- 2. Digital Signals.- 2.1 First Order.- 2.1.1 Zero Input and Forced Response.- 2.1.2 Steady State and Transient Response.- 2.2 Second Order.- 2.2.1 Zero Input Response.- 2.2.2 Unit Impulse Response.- 2.3 High Order.- 2.3.1 Zero Input Response.- 2.3.2 Stability Test.- 2.4 Linear Convolution.- 2.4.1 Forced Response.- 2.4.2 Steady State Sinusoidal Response.- 2.5 State Space Representation.- 2.5.1 Second Order.- 2.5.2 High Order.- 2.5.3 Steady State Sinusoidal Response.- Summary.- Exercises.- 3. Digital Filters.- 3.1 Overview.- 3.2 Design of FIR Filters.- 3.2.1 Linear Phase.- 3.2.2 Windowing.- 3.3 Design of IIR Filters.- 3.3.1 All Pass Filter.- 3.3.2 Analog Filters.- 3.3.3 Analog State Space Representation.- 3.3.4 Analog to Digital Transformation.- 3.3.5 Digital to Digital Transformation.- Summary.- Exercises.- 4. Signal Processing.- 4.1 Fundamental Properties.- 4.1.1 Signal Norm.- 4.1.2 Signal Inner Product.- 4.1.3 Orthogonal Signals.- 4.1.4 Signal Bounds.- 4.2 Discrete Fourier Transform.- 4.2.1 Periodic Signal.- 4.2.2 Finite Length Signal.- 4.2.3 Properties of the DFT.- 4.2.4 Fast Fourier Transform.- 4.2.5 Linear Convolution via FFT.- 4.3 Least Squares Estimation.- 4.3.1 Linear Phase FIR Filter Design.- 4.3.2 Input-Output Signal Model.- 4.3.3 State Space Signal Model.- 4.3.4 Recursive Estimation.- 4.3.5 Applications of Recursive Estimation.- Summary.- Exercises.- 5. Finite Wordlength IIR Filter Implementation.- 5.1 Arithmetic Format.- 5.1.1 Fixed Point.- 5.1.2 Floating Point.- 5.2 First Order FWL Filter.- 5.2.1 Quantization Errors.- 5.2.2 Scaling.- 5.3 Second Order FWL Filter.- 5.3.1 Quantization Errors.- 5.3.2 Scaling.- 5.4 State Space FWL Filter.- 5.4.1 Quantization Errors.- 5.4.2 Scaling.- 5.5 Filter Structures.- 5.5.1 Error Performance Measure.- 5.5.2 Low Complexity Structures.- 5.5.3 Delay Replaced Structures.- 5.5.4 Optimal Structures.- Summary.- Exercises.

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Titolo: Discrete-time Signal Processing: An ...
Casa editrice: Springer
Data di pubblicazione: 1999
Legatura: Brossura
Condizione: Good