46 pages matching sampling rate in this book
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I have read the part of spectrum estimation, which is very comprehensive and clearly. It help me clarify many misconception and questions, especially in the nonparametric estimation methods, the time window effects and frequency leakage.
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Review: Digital Signal ProcessingUser Review - Goodreads
I just wish I had more time to read this book! This is THE best book for Signal Processing. Lucid and Comprehensive.
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A/D converter aliasing analog filter analog signal autocorrelation autocorrelation sequence causal complex computation Consequently continuous-time convolution corresponding crosscorrelation decimation 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 design finite FIR filter FIR system Fourier series Fourier transform frequency domain frequency response frequency response characteristics given H(co Hence IDFT illustrated in Fig implementation impulse response impulse response h(n input sequence input x(n input-output interpolation inverse lattice linear time-invariant system lowpass filter LTI system magnitude and phase matrix method multiplications noise obtain parameters passband periodic signal pole-zero poles polynomial quantization error realization result sampling rate second-order sequence x(n shown in Fig signal processing Solution spectral state-space stopband structure system described system function H(z theorem unit circle unit sample response values variable X(co xa(t z-plane z-transform zero