CT321 Digital Signal Processing (3-0-2-4) Instructor: Aditya Tatu (FB-1,1206, Ext:540)
Other details… Teaching Assistants: Pre-requisites Ronak Kosti 201211018 Tripti Tiwari 201211028 Lekshmi Ramesh 201311008 Falak Shah 201311024 Pre-requisites CT203 Signals & Systems. SC116 Algebraic Structures.
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.
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.
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
Lecture – 1 Signals & Systems: A review What is a signal?
Interpret the following image
DTI
Compressive sensing
Compressive sensing Original Image 128 x 128 = 16384 pixels Image reconstructed from 1600 measurements Image reconstructed from 3300 measurements