November 2012
Intermediate to advanced
794 pages
22h 9m
English
book
Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications
by John J. Shynk
Content preview from Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications
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GENERAL SYMBOLS
| 0 | matrix or column vector of zeros |
| 1 | column vector of ones |
|
nth beth number (cardinality of infinite sets) |
|
infinity symbols (not real numbers) |
| arg(s) | angle of complex s |
|
θ minimizing  |
|
θ maximizing  |
| Bn | Bernoulli number |
| B(a, b) | beta function |
| By(a, b) | incomplete beta function |
| B3dB | 3-dB bandwidth |
| BNE | noise-equivalent bandwidth |
| BRMS | root-mean-square bandwidth |
| Bm[k] | mth-order backward prediction error |
|
bias of an estimator for parameter θ or beampattern of an antenna array |
| ceil(x) | ceiling function |
| cov[X, Y] | covariance of X and Y |
| cov[X] | autocovariance matrix of X |
| c | general location parameter |
| c(t) | cumulant generating function |
| cX | coefficient of variation |
| C | Cantor set, channel capacity per symbol, or contour of integration |
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