The field of Signal Processing is concerned with the design and implementation of algorithms for manipulating, forecasting or classifying signals containing information. Examples include classification of objects (e.g., faces) in an image, speech recognition and synthesis, video compression, medical diagnosis from biological signals such as the heartbeat in wearable devices, or learning a detailed map of the area surrounding an autonomous vehicle to allow safe navigation in unknown environments. Signal processing techniques are ubiquitous in engineering systems, including but not limited to communications devices (cell phones, WiFi), digital musicvideo players, televisions, GPS receivers, radar and sonar systems, the Internet of Things (IoT), and medical imaging and monitoring systems.<br><br>Communications is as essential to modern society as electricity, providing technologies for both high speed connectivity (cellular, WiFi, Internet) and efficient storage (hard drive, flash memory). The field of communications spans signal processing and error control coding for transceiver design, information theory to identify fundamental performance benchmarks, and the design of communication network protocols.

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Doctor of Philosophy in Electrical and Computer Engineering - Communications and Signal Processing

At University of California - Santa Barbara

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