1. CT321 Digital Signal Processing (3-0-2-4)
Instructor: Aditya Tatu
(FB-1,1206, Ext:540)

2. Other details… Teaching Assistants: Pre-requisites
Ronak Kosti
Tripti Tiwari
Lekshmi Ramesh
Falak Shah
Pre-requisites
CT203 Signals & Systems.
SC116 Algebraic Structures.

3. Other details… Grading scheme: Attendance policy 2 Mid-sem exams 40 %
End-Sem exam 30%
Lab submissions 20%
Lab exam 10%
Attendance policy
Lectures: [Do not] attend at your own risk!!!
Labs: Mandatory.

4. Contents Signals & Systems: A Review Transforms for Discrete signals
Importance of Algebraic structures.
Transforms for Discrete signals
DFT, FFT, Z-transforms
Discrete time systems
Frequency analysis, Z-transform analysis, State-space representation.
Digital filters
Recursive, Non-recursive.
Filter Design
Approximation theory: Least square, Minimax approach
Multirate signal processing
Interpolation, Decimation.

5. References Symmetries & groups in Signal Processing
V.P.Sinha
Linear Algebra & its applications
Gilbert Strang
David Lay
Digital Signal Processing, Principles, Algorithms & Applications
Proakis & Manolakis.
Digital Filters
R.W.Hamming

6. Lecture – 1 Signals & Systems: A review
What is a signal?

7. Interpret the following image

8. DTI

9. Compressive sensing

10. Compressive sensing Original Image 128 x 128 = 16384 pixels
Image reconstructed from 1600 measurements
Image reconstructed from 3300 measurements