Discrete-time Signal ProcessingPrentice Hall, 1989 - 879 páginas Part of the Oppenheim Signal Processing series, this new handbook updates the benchmark publication, Digital Signal Processing, by these two leading authorities. Readers will find the fundamentals of processing signals using digital techniques as well as the latest methods and applications for sampling of continuous-time signals and much more. |
Conteúdo
DiscreteTime Signals and Systems | 8 |
Properties of Linear TimeInvariant Systems | 27 |
Linear ConstantCoefficient Difference Equations | 33 |
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aliasing allpass system Amplitude analysis approximation error assume autocorrelation bandlimited cascade causal circular convolution coefficients complex cepstrum computation consider continuous-time filter continuous-time signal corresponding defined denote depicted in Fig Determine difference equation Digital Filters direct form discrete Fourier transform discrete-time filter discrete-time signal discrete-time system example expressed factor FFT algorithm Figure finite finite-length sequence FIR system frequency response group delay H(ej H(ejo implementation impulse response impulse response h[n input sequence input x[n integer inverse Kaiser window length linear phase linear time-invariant system log magnitude lowpass filter minimum-phase multiplications N₁ node obtain passband periodic sequence periodogram poles and zeros polynomial power spectrum properties quantization Radian frequency random region of convergence representation represented result sampling rate sequence x[n shown in Fig shows signal processing Specifically speech stopband system of Fig theorem time-dependent Fourier transform unit circle values variable X(ej X(ejo x₁[n z-plane z-transform