EE 503 : Lecture 36b (Fall 2020, METU) скачать в хорошем качестве

EE 503 : Lecture 36b (Fall 2020, METU)

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)