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Digital Signal Processing Spectral Computation and Filter Design

ISBN-10: 0195136381

ISBN-13: 9780195136388

Edition: 2001

Authors: Chi-Tsong Chen

List price: $199.95
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This is a textbook for senior/graduate level students for courses in electrical engineering departments commonly called digital signal processing. It may also be useful to engineers and scientists who use digital computers to process measured data. Two major topics of the text are: Computer computation of frequency contents of signal and design filters to process signals. These two topics follow logically a basic text or course on Signals and Systems. Although most topics in the text are standard, the presentation and emphasis are significantly different from other existing DSP texts. MATLAB is an integral part of the text, but is not the main emphasis, the text being mostly centered on the basic ideas and procedures in digital signal processing. Thus, the text lists only essential MATLAB functions in the most commonly used programs and skips functions that adjust shapes and sizes of plots, and draw horizontal and vertical coordinates. Some elementary knowledge of signals and systems is helpful, but not necessary. This text is as self contained as possible.
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Book details

List price: $199.95
Copyright year: 2001
Publisher: Oxford University Press, Incorporated
Publication date: 11/30/2000
Binding: Hardcover
Pages: 464
Size: 7.50" wide x 9.25" long x 1.00" tall
Weight: 2.090
Language: English

Continuous-Time (CT), Discrete-Time (DT), and Digital Signals
Representation of Digital Signals
A/D and D/A Conversions
Comparison of Digital and Analog Techniques
Applications of Digital Signal Processing
Scope of the Book
Spectral Computation
CT and DT Fourier Series--Frequency components
Frequency and Frequency Range of Sinusoidal Sequences
Frequencies of CT Sinusoids and Their Sampled Sequences
Continuous-Time Fourier Series (CTFS)
Discrete-Time Fourier Series (DTFS)
FFT Computation of DTFS Coefficients
FFT Computation of CTFS Coefficients
Average Power and Its Computation
Concluding Remarks
CT and DT Fourier Transforms--Frequency Spectra
CT Fourier Transform (CTFT)
Properties of Frequency Spectra
Distribution of Energy in Frequencies
Effects of Truncation
DT Fourier Transform (DTFT)
Effects of Truncation
Nyquist Sampling Theorem
Time-limited Bandlimited Theorem
DFT and FFT--Spectral Computation
Discrete Fourier Transform (DFT)
Properties of DFT
Properties of DFT
Fast Fourier Transform (FFT)
Spectral Computation of Finite Sequences
Spectral Computation of CT Signals
Computing DT Signals from Spectra
Computing Energy Using FFT
Concluding Remarks
Filter Design
Linear Time-Invariant Lumped Systems
Linearity and Time Invariance
LTIL Systems--Difference Equations
Transfer Functions
Frequency Response
Continuous-Time LTIL Systems
CT Transfer Function, Stability, and Frequency Response
Concluding Remarks
Ideal and Some Practical Digital Filters
Ideal Digital Filters
First-Order Digital Filters
Reciprocal Roots and All-Pass Filters
Miscellaneous Topics
Analog Ideal Low-Pass Filters
Design of FIR Filters
Classification of Linear-Phase FIR Filters
Least-Square Optimal Filters--Direct Truncation
Window Method
Desired Filters with Specified Transition Bands
Discrete Least-Squares Optimal FIR Filters
Minimax Optimal FIR Filters
Design of Digital Differentiators
Hilbert Transformers
A Design Example
Design of IIR Filter Design
Difficulties in Direct IIR Filter Design
Design of Analog Prototype Filters
Analog Frequency Transformations
Impulse Invariance Method
Bilinear Transformation
Analog-Prototype-to-Digital Transformations
Comparisons with FIR Filters
Structures of Digital Filters
Direct Form of FIR Filters
DFT of Periodic Convolutions
Direct and Canonical Forms of IIR Filters
Effects of Filter Coefficient Quantizations
Cascade and Parallel Implementations
Appendix: The Impulse