Probabilities, Random Variables, and Random Processes: Digital and Analog |
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Page 3
... assumed to have answers whose statistical regularity may be estimated or predicted . Some questions of this nature ... assumption of fairness . An experiment with different outcomes may be classified as a random phenomenon in two ways ...
... assumed to have answers whose statistical regularity may be estimated or predicted . Some questions of this nature ... assumption of fairness . An experiment with different outcomes may be classified as a random phenomenon in two ways ...
Page 31
... assuming that the teams have equal ability ? ( Hint : With intuition we can conclude that a specific three - game ... assumed to be a random phenomenon , it is often required that we actually count or enumerate them PREREQUISITES OF ...
... assuming that the teams have equal ability ? ( Hint : With intuition we can conclude that a specific three - game ... assumed to be a random phenomenon , it is often required that we actually count or enumerate them PREREQUISITES OF ...
Page 368
... assumed the reader is already familiar with the one - sided Laplace and z transforms and with Fourier series theory and the Fourier transform . If such is not the case , Chapters 8 and 9 should motivate a desire for such familiarity ...
... assumed the reader is already familiar with the one - sided Laplace and z transforms and with Fourier series theory and the Fourier transform . If such is not the case , Chapters 8 and 9 should motivate a desire for such familiarity ...
Contents
1 | 3 |
5 | 54 |
General Formulation and Solution of Problems | 69 |
Copyright | |
12 other sections not shown
Common terms and phrases
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