Adaptive Signal Processing

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This course treats adaptive signal processing algorithms for extracting relevant information from noisy signals. The emphasis is on recursive, model based estimation methods for signals with time-varying properties. Applications in, for example, communications, control and medicine are treated.

Note that the course will use the new course information system Canvas during Spring 2017. Please follow the link:

https://kth.instructure.com/courses/1129

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