3 Review(s)

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). Salient Features 1. Presentation and emphasis of the text are significantly different from other DSP texts including: a. a simplified version of the sampling theorem for periodic signals b. discusses methods of determining location of time signals from the frequency samples of its frequency spectrum c. FFT to compute the inverse z-transform d. mathematical justification for using an antiliasing analog filter in DSP e. Introduce a discrete least squares method to design FIR filters f. Introduce an analog bandstop transformation that yields better results than ones generated by MATLAB. 2. Terminology in the text is carefully defined for the reader and is intended for practical application. 3. MATLAB is an integral part of the text, although basic ideas and procedures in digital signal processing remains its main emphasis, listing only essential MATLAB functions most commonly used in programs 4. All numerical examples in the text and most problems at the end of each chapter are simple enough to be solved analytically by hand, which then can be compared with the computer generated results.