University of Calgary

ENEL 671 - Adaptive Signal Processing - Fall 2017

Fundamentals: Performance objectives, optimal filtering and estimation, the Wiener solution, orthogonality principle. Adaptation algorithms: MSE performance surface, gradient search methods, the Widro-Hoff LMS algorithm, convergence speed and misadjustment. Advanced techniques: recursive least-squares algorithms, gradient and least-squares multiple filter, frequency domain algorithms, adaptive pole-zero filters. Applications: system identification, channel equalization, echo cancellation, linear prediction, noise cancellation, speech.
This course may not be repeated for credit.


  • H(3-1)


This course will be offered next in Fall 2018.
Powered by UNITIS. More features.