Bootstrap Techniques For Signal Processing

This list gives in alphabetical order the symbols that are frequently used throughout this book. Special notation that is used less frequently will be defined as needed.
| A | scalar |
| A | column vector or matrix |
| A ? | transpose of a vector or a matrix A |
| A | complex conjugate of a vector or a matrix |
| A H | Hermitian operation (transpose and complex conjugate) on a vector or a matrix |
| A ?1 | inverse of a matrix |
| A | Euclidean vector norm |
| A | magnitude of A |
| | largest integer ? A |
| | largest integer ? A |
|
| estimator or estimate of A |
| j | imaginary unit, j 2 = ?1 |
| E | expectation operator |
| mod | modulo operator |
| Prob | probability |
| Prob * | probability conditioned on observed data |
| tanh | hyperbolic tangent |
| var | variance operation |
| c XX (t) | covariance function of a stationary signal X t |
| C XX ( ?) | spectral density of a stationary signal X t |
| F | distribution function |
| h | kernel width or bandwidth |
| I | identity matrix |
| I XX ( ?) | periodogram of an observed stationary signal X t |
| k | discrete frequency parameter |
| K( ) | kernel function |
| n | size of a random sample |
| | Gaussian distribution with mean ? and variance ? 2 |
| o |