Introduction to Wavelets and Wavelet Transforms: A Primer

C. S. Burrus; C. Sidney Burrus; Haitao Guo; Ramesh A. Gopinath

ISBN: 9780134896007
Publisher: Prentice Hall
Publication Date: 1997
Binding: Softcover

Develops complete systems, from their sophisticated mathematical models to their final applications. -- Holistic approach gives fresh view of classic signal processing problems and makes subject matter exciting and palpable. -- Covers state-of-the-art results in subband coding, wavelets and their generalizations. -- Particularly emphasizes signal compression from an applications point of view. This book is the only source available that presents a unified view of the theory and applications of discrete and continuous- time signals. This is the only book to present the mathematical point of view, as well as the discrete-time signal processing perspective. It brings together information previously available only in research papers, in engineering and applied mathematics.

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Electromagnetic Devices for Motion Control and Signal Processing

C. S. Burrus; Yuly M. Pulyer

ISBN: 9783540978275
Publisher: Springer-Verlag
Publication Date: 1992

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Array Signal Processing

C. S. Burrus; S. Unnikrishna Pillai

ISBN: 9780387969510
Publisher: Springer Verlag
Publication Date: 1989
Binding: Hardcover

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Digital Filter Design

C. S. Burrus; T. W. Parks

ISBN: 9780471828969
Publisher: Wiley-Interscience
Publication Date: 1987
Binding: Hardcover

Explains the design and implementation of digital filters on the TMS 320 Signal Processor. The TMS 320 is the leading signal processing device and is produced by Texas Instruments. This book is an applications text written for industrial users of the chip, as well as a supplementary graduate-level text in Digital Filter Design.

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Dft/Fft and Convolution Algorithms: Theory and Implementation

C. S. Burrus; T. W. Parks; James F. Potts

ISBN: 9780471819325
Publisher: Wiley-Interscience
Publication Date: 1985
Binding: Softcover

This readable handbook provides complete coverage of both the theory and implementation of modern signal processing algorithms for computing the Discrete Fourier transform. Reviews continuous and discrete-time transform analysis of signals and properties of DFT, several ways to compute the DFT at a few frequencies, and the three main approaches to an FFT. Practical, tested FORTRAN and assembly language programs are included with enough theory to adapt them to particular applications. Compares and evaluates various algorithms.

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