# Summary of Lectures and Matlab Blog

## Lecture on October 22,2018

Went through the lecture 1 and covered until slide 14

## Lecture on October 25,2018

Blog of matlab code for Lecture 2 http://www.cs.tut.fi/~tabus/course/AdvSP/Matlab/Lecture2.html

## Lecture on November 5, 2018

% Went through the slides of LMS, NLMS and LMS variants, up to Momementum LMS. * Blog of matlab code for Lecture LMS http://www.cs.tut.fi/~tabus/course/AdvSP/Matlab/LectureLMS.html

## Lecture on November 12

Linear Prediction * Blog of matlab code for Lecture on Linear Prediction http://www.cs.tut.fi/~tabus/course/AdvSP/Matlab/LectureLevinson.html

## Lecture on November 15

Finished the lecture on Linear prediction. Went through the slides 1:16 of the lecture about Least Squares

## Lecture on November 19

Continued the Lecture on LS and RLS. * Blog of matlab code for Lecture on LS and RLS http://www.cs.tut.fi/~tabus/course/AdvSP/Matlab/Lecture_LS_RLS.html

## Lecture on November 22

Continued the Lecture on LS and RLS. * Blog of matlab code for Lecture on LS and RLS http://www.cs.tut.fi/~tabus/course/AdvSP/Matlab/Lecture_LS_RLS.html

## Lecture on November 26

Covered the sildes 15-28 from Lecture8.pdf "Parameter estimation for AR and MA models. Model order selection" The slides 1-14 are not required for exam. Covered sildes 2-14 from Lecture9.pdf "Spectrum estimation"; Continued with the slides L2-1 to L2-4 from Lecture 10-11.pdf.

## Lecture on November 29

Continued Lecture 10-11.pdf from L2-11 to L4-18 The topics covered: nonparametric spectrum estimation (periodogram and correlogram method + improved periodogram based methods); parametric methods for rational spectra. ,

## Lecture on December 3

Continue Lecture 10-11.pdf from L5-1 to L6-6 Go over the slides of Lecture 12.pdf having exam questions