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
Results 1-3 of 86
Page 17
... given that the resistor drawn is 5 % . P ( A | C ) = P ( 47 2100 2 ) is the probability of drawing a 47- resistor given that the resistor drawn is 100 ; this is Probability clearly an impossible event so the probability of it is 0 ...
... given that the resistor drawn is 5 % . P ( A | C ) = P ( 47 2100 2 ) is the probability of drawing a 47- resistor given that the resistor drawn is 100 ; this is Probability clearly an impossible event so the probability of it is 0 ...
Page 76
... Given that water is not wasted in overflow , what is the probability the generator will have water to drive it ? ( c ) What is the probability that water will be too low to produce power ? * 2.6-6 . In Problem 2.6-5 find and sketch the ...
... Given that water is not wasted in overflow , what is the probability the generator will have water to drive it ? ( c ) What is the probability that water will be too low to produce power ? * 2.6-6 . In Problem 2.6-5 find and sketch the ...
Page 97
... given as convenient methods for finding moments . • Methods were given to transform one random variable into another , and to find distribution and density functions of the new random variable . • The important concepts of how to ...
... given as convenient methods for finding moments . • Methods were given to transform one random variable into another , and to find distribution and density functions of the new random variable . • The important concepts of how to ...
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