Monday Wednesday Instructor
1/19/2011 Ahmad Bahai
1/24/2011 Ahmad Bahai
1/26/2011 Ali Motamedi
1/31/2011 Ali Motamedi
2/2/2011 Ali Motamedi
2/7/2011 Ahmad Bahai
2/9/2011 Ahmad Bahai
2/14/2011 Ahmad Bahai
2/16/2011 Ahmad Bahai
2/21/2011 Ahmad Bahai
2/23/2011 Ali Motamedi
2/28/2011 Ahmad Bahai
3/2/2011 Ahmad Bahai
3/7/2011 Ali Motamedi
3/9/2011 Ahmad Bahai
3/14/2011 Ahmad Bahai
3/16/2011 Ali Motamedi
Midterm 3/21/2011
Spring Break 3/23/2011
Spring Break 3/28/2011
3/30/2011 Ali Motamedi
4/4/2011 Ali Motamedi
4/6/2011 Ahmad Bahai
4/11/2011 Ali Motamedi
4/13/2011 Ali Motamedi
4/18/2011 Ali Motamedi
4/20/2011 Ali Motamedi
4/25/2011 Ali Motamedi
4/27/2011 Ahmad Bahai
5/2/2011 Ahmad Bahai
5/4/2011 Ahmad Bahai
5/9/2011 Ahmad Bahai
Final 5/11/2011
TextBooks
Adaptive Filter Theory
Statistical Digital Signal Processing and Modeling
Fundamentals of Statistical Signal Processing
Lecture Details Reading Comments
Introduction, Classical Application, Some notes of new applications
Sampling Theory and Z Transform
Stationary processes and ergodic theorem Haykin Chapter 2
Correlation matrix, Gaussian process Haykin Chapter 2
Spectrum analysis and PSD Haykin Chapter 2
Estimation Theory
Detection Theory
Eigen filter and SVD Haykin Chapter 5
Linear optimal filtering Haykin Chapter 5
Orthogonality principle MMSE Weiner hopf equation Haykin Chapter 5
Weiner Filtering Application
Forward linear predictor Backward linear predictor
Levinson Algorithm and Cholesky factorization and Lattice filters
Exmaples and Applications
Resursive MMSE
Innovation processes, Mathematical Formulation
Exmaples and Applications
Adaptive Wireless Traffic Estimation / Adaptive MIMO
Compresses Sensing
Energy System Optimization
Temp sensing
Project BrainStorming
LMS and Steepest Decent Theoy
LMS
Applicattions
Wavelet theory 1
Wavelet theory 2
Pattern Recognition 1
Pattern Recognition 2
Author
Haykin
Hayes
Kay