Adaptive Signal Processing


    • Introduction (Cap1.pdf).
    • Stationary processes, models and spectral density (Cap2.pdf).
    • Wiener filters. (Cap3.pdf).
    • Linear prediction (Cap4.pdf).
    • Kalman filters (Cap5.pdf).
    • Method of the Steepest Descent (Cap6.pdf).
    • Least Mean Squared algorithm (Cap7.pdf).
    • Frequency domain adaptive filtering (Cap8.pdf).
    • Recursive Least Square algorithms (Cap9.pdf).
    • Tracking performance of time varying systems (Cap10.pdf).
    • Finite length effects of adaptive filters (Cap11.pdf).

  • Detailed contents can be found here (in spanish)

  • Course passing requirements: homeworks and final project.

  • Bibliography
    • P.S.R. Diniz, Adaptive Filtering: Algorithms and Practical Implementation. Springer Ed.
    • S. Haykin, Adaptive Filter Theory, Prentice-Hall, Englewood Cliffs, NJ.
    • B. Widrow and S. Stearns, Adaptive Signal Processing , Prentice-Hall, Englewood Cliffs, NJ.
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