Probability, Random Variables, and Random Signal PrinciplesThere are now 134 examples and nearly 900 homework problems; and other topics expanded or added include discussion of probability as a relative frequency, permutations, combinations, transformations of random variables, ergodicity of random processes, laws of large numbers, estimation, various inequalities, properties of impulses, and chapter-end summaries. This new material will prove most useful for students concerned with modern digital systems."--BOOK JACKET. |
From inside the book
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Page 312
... transfer function is critical to the transform domain analysis / synthesis of a DT system . We previously derived ... function is called the transfer function ( or sometimes the frequency response function ) of the DT system . The ...
... transfer function is critical to the transform domain analysis / synthesis of a DT system . We previously derived ... function is called the transfer function ( or sometimes the frequency response function ) of the DT system . The ...
Page 387
... transfer function of an integrator . If R is to approximate C then H2 ( w ) = 1 . From Figure 10.3-1 it is clear ... transfer function of the control loop as ( 10.3-1 ) ( 10.3-2 ) 387 CHAPTER 10 : Some Practical Applications of the ...
... transfer function of an integrator . If R is to approximate C then H2 ( w ) = 1 . From Figure 10.3-1 it is clear ... transfer function of the control loop as ( 10.3-1 ) ( 10.3-2 ) 387 CHAPTER 10 : Some Practical Applications of the ...
Page 458
... transfer function , 359 for white noise , 359 Matrix , covariance , 152 Mean - ergodic process , 192 Mean frequency , 226 Mean ( expected ) value , 77 from autocorrelation function , 194 conditional , 80 , 173 estimate of , 165 of function ...
... transfer function , 359 for white noise , 359 Matrix , covariance , 152 Mean - ergodic process , 192 Mean frequency , 226 Mean ( expected ) value , 77 from autocorrelation function , 194 conditional , 80 , 173 estimate of , 165 of function ...
Contents
Venn Diagram Equality and Difference Union | 7 |
Joint Probability Conditional Probability Total | 18 |
The Random Variable | 107 |
Copyright | |
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Other editions - View all
Probability, Random Variables, and Random Signal Principles Peyton Z. Peebles No preview available - 2001 |
Common terms and phrases
amplitude applied assume autocorrelation function available power gain average power band-limited bandpass bandwidth CHAPTER characteristic function cos(wpt covariance cross-correlation cross-correlation function cross-power defined denoted discrete random variables discrete-time DT system ergodic event example expected value Fourier transform frequency fx(x fy(y gaussian random variables given impulse response independent random variables integral joint density function jointly wide-sense stationary k₁ Linear Systems lowpass mean value Multiple Random Variables noise figure noise power noise temperature Peebles power density spectrum power spectrum Problem properties random process random process X(t Random Signal Principles random variables X1 real constants resistor Rxy(t Ryy(t sample function sample space sequence signal x(t spectral stationary process statistically independent statistically independent random Systems with Random t₁ transfer function uncorrelated variance voltage W₁ W₂ waveform white noise wide-sense stationary X₁ xx(w Y₁ Y₂ zero zero-mean