For day-to-day digital signal processing, you simply can't find a better source than DSP Primer. After a concise statement of the applicable theory, this clear, practical book/CD package hands you ready-to-apply tools that cover the vast majority of digital signal processing deployment challenges. You get more than 200 useful algorithms, mathematical models, and design procedures; code in both executable Windows and source forms; and a step-by-step approach to solving problems and selecting techniques. DSP Primer covers digital filtering methods, discrete transform techniques, digital spectra analysis, multirate and statistical signal processing, adaptive filtering, speech processing, and much more. The CD-ROM gives you C++ programs for immediately testing new techniques, a library of C++ classes ready for integration into your own applications, and sample data for algorithm evaluation and demonstration. With hands-on solutions for common problems, DSP Primer is the toolkit of choice for the most explosively growing area of electrical engineering.
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Some Essential Preliminaries
25 other sections not shown
adaptive filter Algorithm amplitude response analog filter autocorrelation bandpass bandwidth Bessel filters bilinear transformation bits Butterworth cepstrum Chap Chebyshev filters complex compute constructor continuous-time corresponding cutoff frequency decimator defined denoted digital filter direct form discrete-time DTFT elliptical filter equation error estimate evaluated extremal frequencies factor filter coefficients filter design filter of Example finite FIR filter FirFilterDesign Fourier transform frequency Figure frequency response given implementation impulse response input integer interpolator Levinson recursion listed in Table lowpass filter magnitude response Markov chain matrix method multiply nodes normalized number of taps obtained output parameters passband passband ripple periodogram phase response plotted poles polynomial provided in file quantized random process sampling rate segment sequence shown in Fig sidelobe signal processing sinusoids specified spectrum stopband symmetry transfer function transition band values vector white noise z transform zero