4Random Processes and Linear Systems

There are sequences and signals that are random, and these are referred to as random (or stochastic) processes. These random processes can be either discrete‐time or continuous‐time, depending on whether the random function of time is over a discrete set or a continuous one. In order to frame the random processes in the preceding chapters, the discrete‐time random process can be viewed as a sequence of random variables sequentially ordered by the time variable as indexing parameter. This means that the stochastic processes are completely characterized by the Nth oder joint pdf p(x) for the set of rvs images obtained by continuous‐time random process x(t) for any choice of the time instant images to have images. Similarly, for discrete‐time random process x[n] where images, one can choose the discrete‐time time sampling images to have images. The commonality between the continuous/discrete‐time ...

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