Probabilities, Random Variables, and Random Processes: Digital and Analog |
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Page 368
... sided Laplace transform plus a few simple circuit applications . Now much ... z , Laplace , and Fourier transforms , with an emphasis toward their ... Two - Sided z Transform The two - sided z transform associated with a sequence of ...
... sided Laplace transform plus a few simple circuit applications . Now much ... z , Laplace , and Fourier transforms , with an emphasis toward their ... Two - Sided z Transform The two - sided z transform associated with a sequence of ...
Page 380
Digital and Analog Michael O'Flynn. Table 8.2 SOME ONE - SIDED z TRANSFORM THEOREMS THEOREM Linearity Shifting TIME ... two - sided z transform . Ch ( n ) the correlation transfer function will always possess a two - sided z transform if ...
Digital and Analog Michael O'Flynn. Table 8.2 SOME ONE - SIDED z TRANSFORM THEOREMS THEOREM Linearity Shifting TIME ... two - sided z transform . Ch ( n ) the correlation transfer function will always possess a two - sided z transform if ...
Page 426
... two - sided z transform is Since - z [ Chn ( n ) ] = −z + 2 − z ̄1 = T ( z ) H ( z ) = 1 - z - 1 and H ( z ) = 1 - z then the two - sided z transform of Ch ( n ) may also be expressed as the product of the two series H ( z ) and H ...
... two - sided z transform is Since - z [ Chn ( n ) ] = −z + 2 − z ̄1 = T ( z ) H ( z ) = 1 - z - 1 and H ( z ) = 1 - z then the two - sided z transform of Ch ( n ) may also be expressed as the product of the two series H ( z ) and H ...
Contents
1 | 3 |
5 | 54 |
General Formulation and Solution of Problems | 69 |
Copyright | |
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A₁ autocorrelation function average axiom B₁ balls Chapter convolution correlation integrals cross-correlation cross-correlation function cumulative distribution function dadß defined definition delta function denoted derivation deterministic discrete Fourier transform discrete probability theory discrete random process DRILL SET ensemble ergodic evaluate event space Example finite first-order stationary formula fundamental theorem fxy(a fy(B fz(y given impulse response joint density function joint mass function Laplace transform linear system M₁ member waveform notation obtained otherwise output periodic function periodic waveform permutations plotted in Figure points power spectral density probability measure probability theory problem properties pulse px(a random input random phenomenon range Rxx(T sample description space sampled values second-order stationary set theory shown in Figure shown plotted signal sketch SOLUTION solved statistics Sxx(w Ticket Pays two-sided Laplace transform two-sided z transform typical member X₁ z transform zero-mean