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Info EE603

The document provides information about the EE 603 Digital Signal Processing and Applications course at the Indian Institute of Technology Bombay, including the schedule, instructor details, prerequisites, grading breakdown, and course outline. Key topics include signal representation, filtering, and applications in error correction and spectral estimation. Recommended textbooks and reference materials are also listed for students to choose from.

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48 views1 page

Info EE603

The document provides information about the EE 603 Digital Signal Processing and Applications course at the Indian Institute of Technology Bombay, including the schedule, instructor details, prerequisites, grading breakdown, and course outline. Key topics include signal representation, filtering, and applications in error correction and spectral estimation. Recommended textbooks and reference materials are also listed for students to choose from.

Uploaded by

manas210282
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Indian Institute of Technology Bombay

Dept of Electrical Engineering

Handout 1 EE 603 Digital Signal Processing and Applications


General Course Information July 20, 2016

EE 603 Digital Signal Processing and Applications

Time and location: Wed/Fridays, 9:30–10:55 am, EEG-002

Web page: http://www.ee.iitb.ac.in/∼bsraj/courses/ee603/

Instructor: Prof. Sibi Raj B Pillai


Office : 331A, Third Floor, EE Main Building
Phone : 7419
E-mail : bsraj att ee
Time : Feel free to walk-in or call

Prerequisites:
Logical reasoning skills and appreciation for abstract concepts.

Course mechanics:
Assignments/Quiz 20%, Midterm Exam 30%, Final Exam 40%,
Programming Experiments-GNURADIO 10%.

Approximate Outline:
Signals, Systems, Motivation, Linear Systems, Examples
Signal Representation, Transforms
Sampling and Reconstruction, DTFT, DFT and FFT
Basics of Filtering, analog and digital filter design
Applications: Error Correction/Compressed Sensing/Spectral Estimation
Note: most topics mentioned in the syllabus at ee website will be covered.

Textbook: Feel free to choose one among the first four books listed below. Additional
material and further references will be added at the website. Lecture notes for most parts
will be provided.

Reference Material:
1. J. Proakis and D. Manolakis, DSP: Principles, Algorithms and Applications Pren-
tice Hall 1997.
2. A. Oppenheim and R. W. Schafer, Discrete-time Signal Processing, Pearson 2014
3. L. R. Rabiner and B. Gold, Digital Signal Processing, PHI 1976
4. A. Oppenheim, A. Willsky and S. Nawab, Signals and Systems Prentice Hall 1996.
5. P. Bremaud, Mathematical Principles of Signal Processing, Springer 2002.
6. E. Stein and R. Shakarchi, Fourier Analysis, Princeton Lectures in Analysis 2003.

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