Akademik Dersler - İçerik

0 : Does not support 1 : Low-level support 2 : Mid-level support 3 : Top level support

Learning Outcomes
Become familiar with spectral leakage and spectral sampling issues in Fourier analysis of signals.
Become familiar with the short-time Fourier transform, and its application in analysis of speech and radar signals.
Become familiar with nonparametric spectral analysis of stationary signals; periodogram and correlogram methods.
Become familiar with all-pole (autoregressive) modeling of signals; including linear prediction, Levinson-Durbin algorithm, lattice filters.
Become familiar with applications of adaptive filters, adaptive direct-form FIR filters.
Become familiar with the LMS algorithm, its derivation and properties.
Become familiar with the direct-form RLS algorithm and its derivation (if time permits).