Probabilities, Random Variables, and Random Processes: Digital and Analog |
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... correlation and covariance coefficients are applied to the rapidity of change of waveforms . A relationship between two random variables is associated with sampling ... Correlation integrals for periodic , finite - power waveforms × PREFACE.
... correlation and covariance coefficients are applied to the rapidity of change of waveforms . A relationship between two random variables is associated with sampling ... Correlation integrals for periodic , finite - power waveforms × PREFACE.
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... Correlation integrals for discrete or quantized waveforms 4. Correlation integrals for finite - power , noise waveforms , with consid- eration of the important parameters of sample length and sampling rate Chapter 7 concludes by ...
... Correlation integrals for discrete or quantized waveforms 4. Correlation integrals for finite - power , noise waveforms , with consid- eration of the important parameters of sample length and sampling rate Chapter 7 concludes by ...
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... correlation functions for continu- ous processes . 7.4 EVALUATION OF TIME DOMAIN INTEGRALS Many important integrals keep recurring throughout system theory . A continuous linear system is characterized in the time domain by its impulse ...
... correlation functions for continu- ous processes . 7.4 EVALUATION OF TIME DOMAIN INTEGRALS Many important integrals keep recurring throughout system theory . A continuous linear system is characterized in the time domain by its impulse ...
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5 | 54 |
General Formulation and Solution of Problems | 69 |
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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