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. |
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Page 351
Peyton Peebles. 8.10-9 . Three networks are cascaded . Available power gains are G1 = 8 ( input stage ) , G2 6 , and G3 = 20 ( output stage ) . Respective input effective spot noise temperatures are Tel 100 K , and Te3 = 280 K. = = 40 K ...
Peyton Peebles. 8.10-9 . Three networks are cascaded . Available power gains are G1 = 8 ( input stage ) , G2 6 , and G3 = 20 ( output stage ) . Respective input effective spot noise temperatures are Tel 100 K , and Te3 = 280 K. = = 40 K ...
Page 352
... available power gain of 15 while the second has an input effective noise temperature of 600 K. The input effective noise temperature of the cascade is 140 K. The available power at the cascade's output in a small 1000 - Hz band is 4.14 ...
... available power gain of 15 while the second has an input effective noise temperature of 600 K. The input effective noise temperature of the cascade is 140 K. The available power at the cascade's output in a small 1000 - Hz band is 4.14 ...
Page 354
... available power gain of 8 Go ( w ) = 10 + jw ( a ) Find T , for this source . S ( b ) Find the amplifier's noise bandwidth . ( c ) What is the noise power available at the amplifier's output due to the source ? 8.11-14 . The available ...
... available power gain of 8 Go ( w ) = 10 + jw ( a ) Find T , for this source . S ( b ) Find the amplifier's noise bandwidth . ( c ) What is the noise power available at the amplifier's output due to the source ? 8.11-14 . The available ...
Contents
Venn Diagram Equality and Difference Union | 7 |
Joint Probability Conditional Probability Total | 18 |
The Random Variable | 107 |
Copyright | |
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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