Digital Signal Processing: Spectral Computation and Filter Design - Couverture rigide

Chen

 
9780195136388: Digital Signal Processing: Spectral Computation and Filter Design

Synopsis

Designed for a first course in digital signal processing, Digital Signal Processing: Spectral Computation and Filter Design covers two major topics: the computation of frequency contents of signals and the design of digital filters. While it focuses on basic ideas and procedures and covers the standard topics in the field, this unique text distinguishes itself from competing texts by extensively employing the fast Fourier transform (FFT).

Part 1: Spectral Computation deals with continuous-time (CT), discrete-time (DT), and digital signals; CT and DT Fourier series (frequency components); CT and DT Fourier transforms (frequency spectra); and discrete Fourier transform (DFT) and fast Fourier transform (FFT). Part 2: Digital Filter Design discusses linear time-invariant lumped systems; ideal and practical digital filters; design of FIR digital filters; design of IIR filters; and structures of digital filters.

Digital Signal Processing covers numerous topics not found in similar texts. It:
- Establishes a simplified version of the sampling theorem for periodic signals
- Uses FFT to compute frequency spectra of DT and CT signals and inverse FFT to compute DT and CT signals from their frequency spectra
- Employs FFT to compute the inverse z-transform
- Covers steady-state and transient responses of digital filters and gives an estimated time for a transient response to die out
- Gives a mathematical justification for using an antialiasing analog filter in digital signal processing
- Introduces a discrete least-squares method to design FIR filters
- Presents an analog bandstop transformation that yields better results than ones generated by MATLAB(R)

Digital Signal Processing features careful definitions of all terminology and a wealth of examples and problems. All numerical examples and most end-of-chapter problems are simple enough to be solved analytically by hand; these results can then be compared with the computer-generated solutions. MATLAB(R) is an integral part of the text.

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Présentation de l'éditeur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.