Discrete-time signals are seldom found in nature. Numerous discrete signals are used to verify results or theories, for example, the daily change of the stock market in economics, the daily maximum temperature at a particular place for the climate change, and so on. However, most of the signals used by engineers and scientists are the outputs of transducers that, by nature, are continuous signals. Therefore, we are forced to digitize these signals and proceed to manipulate them at their digitized form. Hence, a continuous-time signal f(t) is digitized (sampled by a constant amount of time T) and becomes a set of numbers {f(nT)}. The sampling theorem ...
Get Adaptive Filtering now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.