Digital Signal Processing: Principles, Algorithms, and Applications |
Contents
DISCRETETIME SIGNALS | 40 |
FREQUENCY ANALYSIS | 143 |
THE ZTRANSFORM | 225 |
Copyright | |
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A/D converter aliasing analog signal autocorrelation autocorrelation sequence causal complex computation continuous-time convolution corresponding decimation Determine difference equation digital filter digital signal processing direct form discrete-time signal equivalent example expressed F₁ factor FFT algorithm FIGURE filter coefficients filter design finite FIR filter Fourier series Fourier transform frequency domain frequency response frequency response characteristics given Hence IIR system illustrated in Fig implementation impulse response impulse response h(n input sequence input signal interpolation inverse linear time-invariant system lowpass filter LTI system magnitude and phase matrix method multiplications N-point DFT noise obtain parameters passband periodic signal pole-zero poles polynomial power spectrum estimate quantization errors random process realization recursive result sampling rate sequence x(n shown in Fig signal x(n Solution spectral state-space stopband structure system described system function H(z unit circle unit sample response values variable variance x₁(n z-plane z-transform zero π π