Syllabus (updated 1/5/12 9:45am)

New additions to the Lecture notes

Lecture notes from previous semesters

• Random processes
• Wiener filter
• Search for Optimum
• Performance Surface
• LMS Algorithm
• NLMS Algorithm
• Tracking Performance of Adaptive Filters
• Robustness of LMS
• FFT LMS
• RLS Algorithm
• Gamma filter
• FFT LMS (new)
• Lattice IIR Gamma
• Robustness LMS
• Tracking LMS
• RKHS and filtering (password protected)
• Kernel adaptive filtering(password protected)
• Kernel adaptive filtering (Sohan Seth)
• Adaptive Algorithms for PCA [Part I]
• Adaptive Algorithms for PCA [Part II]

Homeworks

• Homework 1 Due 01/26/2012 (updated 01/19/2012)
• Homework 2 Due 02/02/2012 (updated 01/26/2012)
• Homework 3 Speech file (WAV) {save link/target as to download} Due 02/09/2012 (updated 01/27/2012)
• Homework 4 same peech file as above Due 02/16/2012 (updated 02/09/2012)
• Homework 6 use files from Project 1 Due 04/03/2012 (updated 03/21/2012)

Projects

• Project 1 [project1.mat] Due 03/15/2012 (updated 02/21/2012)
• Project 2 [proj2.mat] Due 04/24/2012 (updated 5:07pm 04/05/2012)
  • Example extraction using a linear method [WAV]. Example extraction with known nonlinearity [WAV].