| |
| | Stationary and Nonstationary Random Processes |
 | | From the definition of a random process, we know that all random processes are composed of random variables, each at its own unique point in time. |
 | | Because of this, random processes have all the properties of random variables, such as mean, correlation, variances, etc.. |
 | | The most important result of this statement, and the identifying characteristic of any first-order stationary process, is the fact that the mean is a constant, independent of any time shift. |
| cnx.org /content/m10684/latest (1028 words) |
|