Announcements and Class Follow-up

W, Jan 20 (follow up of 1st half week )

I attached the slides I used on Wednesday (first class)

You may review a file with Matlab commands I used in class for demonstration (a slightly different file from last year can expose you to few more things)

You may find matlab demos in http://www.mathworks.com/products/matlab/demos.html (I will also hand in some stuff to you next week).

I suggest you look at the optional textbook wbpage. You may find there e.g. a solution to one of the homework problems.

A crash course on Matlab by Tobin Driscoll can be downloaded here

W, Jan 27 (follow up of 2nd week)

For reading on SVD you may use the notes on SVD by Dan Kalman
or the relevant chapters in the following books
Demmel: Applied numerical linear algebra
Bau & Trefethen: Numerical linear algebra

The demos I used in class for both eigenvectors and singular vectors are in here

W, Feb 3 (follow up of 3rd week)

You may review a file with Matlab commands I used in class for demonstration
You may obtain a broader prespective on PCA by reading section 2.1 of the following book

W, Feb 10 (follow up of 4th week)

You may review a file with Matlab commands I used in both classes during the week.
The slides I used in class are here
Notes on convolution and correlation are in here.
Correlation is also often referred to as cross-correlation
(note that both references above use a different definition of correlation than ours since they shift the first function/vector; we use the second function/vector as done in Matlab)

Wed, Feb 17 (follow up of 5th week)

Another set of slides (also be used next week) are here

I attach a file explaining Fig 3.13 in the the slides above

Note the definition of correlation is slightly different in the book and cannot explain what is seen in Fig 3.13. Also note that the book is wrong saying that correlation is commutative

Some material on numerical differentiation can be found e.g. in here

I attach a file with matlab commands used in class

Wed, Feb 24 (follow up of 6th week)

I attach a file with Matlab commands used in a previous class

Here is a file of what you need to know for the coming exam (Wed. March 10th)

The attached file summarizes properties of the Fourier transform

Wed, March 3rd (follow up of 7th week)

I updated homework 3 (to be submitted Mon. March 22nd, right after spring break), homework 4 will be submitted March 29th.

Wed, Mar 10th (follow up of 8th and 8th week)

The attached file summarizes properties of the Discrete Fourier transform
I also attach Matlab commands used in class.
The week after spring break we will discuss the following topics in the following order
1. FFT (section 4.11 in your textbook)
2. 2-D DFT in practice (explaining figures in your textbooks)
3. Image Enhancement in the Frequency Domain (sections 4.7-4.10)
4. Sampling and aliasing (mainly 4.5.3, 4.5.4)

Wed, Mar 24 (follow up of 9th week)

A file explaining the Cooley-Tukey algorithm of last week is attached
Attached are slides used in class

Wed, Mar 31 (follow up of 10th week)

Attached are slides1 and slides2 used in class
Here is a file of what you need to know for the coming exam (Mon. April 12th)

Attached are notes on Shannon sampling theorem and aliasing

Here are the slides of the talk by Bryan Poling on non-local means and BM3D

Wed, Apr 14 (follow up of 11th week)

Attached are slides of Mark Iwen used in class

Wed, Apr 21 (follow up of 11th week)

Attached are slides used in class

Thu, April 3 (follow up of 10th week)

Here is a file of what you need to know for the final exam

 

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