Adaptive signal processing

Article By:

Sayed, Ali H. Department of Electrical Engineering, University of California, Los Angeles, California.

Hassibi, Babak Information Systems Laboratory, Stanford University, Stanford, California.

Kailath, Thomas Information Systems Laboratory, Stanford University, Stanford, California.

Last reviewed:August 2019

DOI:https://doi.org/10.1036/1097-8542.757473

Signal processing is a discipline that deals with the extraction of information from signals. The devices that perform this task can be physical hardware devices, specialized software codes, or combinations of both. In recent years the complexity of these devices and the scope of their applications have increased dramatically with the rapidly falling costs of hardware and software and the advancement of sensor technologies. This trend has made it possible to pursue sophisticated signal-processing designs at relatively low cost. Some notable applications, in areas ranging from biomedical engineering to wireless communications, include the suppression of interference arising from noisy measurement sensors, the elimination of distortions introduced when signals travel through transmission channels, and the recovery of signals embedded in a multitude of echoes created by multipath effects in mobile communications.

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