Home

## Welcome to the Home Page of

Mathukumalli Vidyasagar

Fellow of The Royal Society

Distinguished Professor

EE5420 Introduction to Compressed Sensing:

**Course Notes:** Book Manuscript
PDF

**Homework Assignments
**

**Reprint**

Deterministic construction of partial Fourier matrices PDF

**Matlab Utilities**

- Computing the upper bounds on the number of measurements for various determinstic methods
- Computing the upper bounds on the number of measurements for various probabilistic methods
- Constructing an array code matrix of dimensions (k+1)q by n where n <= q^2
- Creating a DeVore matrix in "packed" form
- Converting a "packed" DeVore matrix to binary form
- Creating a chirp matrix
- Computing the number of measurements required by various methods
- Checking for multigraphs -- full
- Checking for multigraphs -- short
- Constructing a Ramanujan graph using the method of Lubotzky-Phillips-Sarnak
- Zip file containing code for nuclear norm minimization using the ALM (Alternating Lagrange Multiplier) method

**Matlab Diaries**

- ell_1-norm minimization using the DeVore and array code matrices
- Recovery of signals whose discrete cosine transform is sparse

**Matlab Data Files**