Adaptive filter algorithm and practical application

Introduces the theoretical basis and main applications of adaptive filters : system identification, interference elimination, channel equalization design, etc.

• Chapter 1：Course Description (14 minutes and 29 seconds)

• Chapter 2：Filter Basics (2 minutes and 32 seconds)

• Chapter 3：Signal indication 1 (17 minutes and 7 seconds)

• Chapter 4：Signal indication 2 (13 minutes and 40 seconds)

• Chapter 5：Signal indication 3 (14 minutes and 52 seconds)

• Chapter 6：Signal Representation (13 minutes and 0 seconds)

• Chapter 7：Autocorrelation matrix analysis (14 minutes and 23 seconds)

• Chapter 8：Wiener filter (33 minutes and 18 seconds)

• Chapter 9：Wiener filter (13 minutes and 51 seconds)

• Chapter 10：Wiener filter (17 minutes and 3 seconds)

• Chapter 11：MSE and steep drop method (33 minutes and 18 seconds)

• Chapter 12：Steep Descent Method and Examples (17 minutes and 12 seconds)

• Chapter 13：Typical filter applications (45 minutes and 30 seconds)

• Chapter 14：Typical filter applications (15 minutes and 10 seconds)

• Chapter 15：LMS coefficient vector behavior analysis (22 minutes and 28 seconds)

• Chapter 16：Analysis of LMS error signal behavior (42 minutes and 38 seconds)

• Chapter 17：An Example of Theoretical Analysis of LMS Effectiveness (9 minutes and 42 seconds)

• Chapter 18：Simulation analysis using MATLAB (21 minutes and 33 seconds)

• Chapter 19：Introduction to MATLAB Basics (55 minutes and 1 seconds)

• Chapter 20：Introduction to MATLAB Basics (17 minutes and 47 seconds)

• Chapter 21：MATLAB implementation of LTI system (20 minutes and 12 seconds)

• Chapter 22：MATLAB practice filter operation (17 minutes and 46 seconds)

• Chapter 23：Other variations of LMS (42 minutes and 55 seconds)

• Chapter 24：Other variations of LMS (1 hours and 36 minutes and 34 seconds)