Homeworks page

Announcements

• 99/04/23: Final Grades of the course.

Video sessions of the course

• [The rest of video sessions and homeworks are in CourseWare system]
• Session 6: [Videos], [Slides].
• Session 5: [Videos], [Slides].
• Session 4: [Videos], [Slides].

Resources for the course

Slides of the first 3 sessions (review sessions)

• BSS, SemiBSS, SCA, SD, SL0.

Course materials on "probability and statistics" and "Higher Order Statistics (HOS)"

• Chapter 2 of Nikias' book.

• Mansour and Jutten: Kurtosis of a sub-Gaussian source is NOT necessarily negative (pdf).

• Darmois's Theorem and its proof..

Course materials on BSS

• Equivariancy: Cardoso and Laheld, "Equivariant Adaptive Source Separation", IEEE Trans. on Signal Processing, 1996 (Scanned version with my notes on it).

• Entropy Optimization paper: Taleb and Jutten, "Source Separation based on Entropy optimization" (pdf).

• Lacoume paper: using forth order cumulant (pdf).

• Cardoso's review paper: "Blind Signal Separation: Statistical Principles", Proceedings of IEEE, Vol. 9, No. 10, pp. 2009-2025, 1998 (pdf with my notes on it).

Course Materials on Sparse

• Gribonval's paper.

• Stable Recovery.

• SL0 Algorithm (you may read the "letter" paper (rejected)).

• Slides on SL0.

• Slides on compressed sensing.