Digital Signal ProcessingA significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science. The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing. |
Contents
Problems | 139 |
The zTransform and Its Application to the Analysis of LTI | 147 |
Frequency Analysis of Signals | 224 |
Copyright | |
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Common terms and phrases
A/D converter aliasing analog signal autocorrelation bandpass causal complex computation convolution corresponding decimation defined density spectrum Determine difference equation digital filter digital signal digital signal processing direct-form discrete-time signal equivalent example exponential expressed factor FFT algorithm Figure filter coefficients finite FIR filter FIR system Fourier series Fourier transform frequency domain frequency response given Hence illustrated in Fig implementation impulse response impulse response h(n input sequence input signal integer interpolation inverse linear time-invariant system LMS algorithm lowpass filter LTI system magnitude and phase multiplications N-point DFT noise obtain parameters passband periodic signal pole-zero poles polynomial polyphase filter quantization error random process realization recursive result sampling rate sequence x(n shown in Fig signal processing signal x(n Solution spectral stopband unit circle unit sample response values vector Xa(t z-plane z-transform zero π π