EE 503 : Lecture 36b (Fall 2020, METU)
Автор: Cagatay Candan
Загружено: 2021-02-04
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Описание:
EE 503 - Statistical Signal Processing and Modeling
Fall 2020, Middle East Technical University, Ankara, Turkey.
Instructor: Prof. Cagatay Candan
Lecture 36b
Playlist : • EE503@METU, Fall 2020
Lecture Contents:
00:00 - Wiener Filtering (Problem Setup)
03:08 - FIR Wiener Filtering
04:42 - Deriving Wiener-Hopf (or normal) Equations
22:06 - Min.MSE calculation
25:00 - Example: x[n] = d[n] + v[n], r_d[k] = \alpha^{|k|} , r_v[k] = \sigma_v^2 \delta[k]
32:25 - Writing Normal equations for 2-tap filter (example)
36:50 - Calculation of LMMSE value for 2-tap filter (example)
40:42 - 1-tap FIR Wiener filter derivaiton (example)
45:06 - SNR before and after Wiener filtering (example)
51:30 - SNR-after with 1-tap Wiener filter (example)
53:04 - SNR-after with 2-tap Wiener filter (example)
59:10 - What is the maximum SNR-after with 2-tap filter? (example)
59:30 - Max. SNR filter derivation (example)
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