Digital Signal Processing and Statistical Classification
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Overview
This is the first book to introduce and integrate advanced digital signal processing (DSP) and classification together, and the only volume to introduce state-of-the-art transforms including DFT, FFT, DCT, DHT, PCT, CDT, and ODT together for DSP and communication applications. You get step-by-step guidance in discrete-time domain signal processing and frequency domain signal analysis; digital filter design and adaptive filtering; multirate digital processing; and statistical signal classification. It also helps you overcome problems associated with multirate A/D and D/A converters.
Editorials
Miao, a specialist in digital signal processing with applications in multimedia, wireless, and wireline communications, and Clements (electrical and computer engineering, Georgia Institute of Technology) integrate the two topics and introduce discrete Fourier, discrete cosine, discrete sine, discrete Hartley, and other contemporary transforms. They assume readers have an undergraduate understanding of advanced calculus, linear system theory, probability and random variables, linear algebra, data conversion, and the basic theory of digital signal processing. Annotation c. Book News, Inc., Portland, OR (booknews.com)