Digital Signal Processing: Principles, Algorithms and Applications (3rd Edition)

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Características del artículo

Estado
Nuevo: Libro nuevo, sin usar y sin leer, que está en perfecto estado; incluye todas las páginas sin ...
Book Title
Digital Signal Processing: Principles, Algorithms and Application
Artist
Proakis, John G.; Manolakis, Dimitris G.
ISBN
9780133737622
Categoría

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Product Identifiers

Publisher
Prentice Hall PTR
ISBN-10
0133737624
ISBN-13
9780133737622
eBay Product ID (ePID)
32456

Product Key Features

Number of Pages
1016 Pages
Language
English
Publication Name
Digital Signal Processing : Principles, Algorithms and Applications
Subject
Signals & Signal Processing
Publication Year
1995
Features
Revised
Type
Textbook
Subject Area
Technology & Engineering
Author
Dimitris G. Manolakis, John G. Proakis
Format
Hardcover

Dimensions

Item Height
1.7 in
Item Weight
58.3 Oz
Item Length
9.5 in
Item Width
7.3 in

Additional Product Features

Edition Number
3
Intended Audience
College Audience
LCCN
95-009117
Dewey Edition
20
Number of Volumes
2 vols.
Illustrated
Yes
Dewey Decimal
621.382/2
Edition Description
Revised edition
Table Of Content
1. Introduction. 2. Discrete-Time Signals and Systems. 3. The Z -Transform and Its Application to the Analysis of LTI Systems. 4. Frequency Analysis of Signals and Systems. 5. The Discrete Fourier Transform: Its Properties and Applications. 6. Efficient Computation of the DFT: Fast Fourier Transform Algorithms. 7. Implementation of Discrete-Time Systems. 8. Design of Digital Filters. 9. Sampling and Reconstruction of Signals. 10. Multirate Digital Signal Processing. 11. Linear Prediction and Optimum Linear Filters. 12. Power Spectrum Estimation. Appendix A. Random Signals, Correlation Functions, and Power Spectra. Appendix B. Random Numbers Generators. Appendix C. Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters. Appendix D. List of MATLAB Functions. References and Bibliography. Index.
Synopsis
Suitable for a one- or two-semester undergraduate-level electrical engineering, computer engineering, and computer science course in Discrete Systems and Digital Signal Processing. Assumes some prior knowledge of advanced calculus, linear systems for continuous-time signals, and Fourier series and transforms. Giving students a sound balance of theory and practical application, this no-nonsense text presents the fundamental concepts and techniques of modern digital signal processing with related algorithms and applications. Covering both time-domain and frequency- domain methods for the analysis of linear, discrete-time systems, the book offers cutting-edge coverage on such topics as sampling, digital filter design, filter realizations, deconvolution, interpolation, decimation, state-space methods, spectrum analysis, and more. Rigorous and challenging, it further prepares students with numerous examples, exercises, and experiments emphasizing software implementation of digital signal processing algorithms integrated throughout., A textbook suitable for either a one-semester or a two-semester undergraduate course in discrete systems and digital signal processing, or a one-semester first-year graduate course in digital signal processing. It presents the fundamentals of discrete-time signals, systems, and modern digital proces
LC Classification Number
TK5102.9.P757 1996

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