This course aims at introducing the students to the fundamentals of digital signal processing useful for various signal processing applications. The lectures will focus on mathematical principles and the intuitive understanding behind, and there will be coding based assignments for implementation. The course will include some applications in audio and image processing.
Note: The assignments will be lighter than the last semester's MLSP ones :).
Due to COVID-19 lockdown, we will be modifying the weightage as follow:
Scheme 2 is equivalent to just omitting the end-sem weight from Scheme 1.
When the institute re-opens, those applying for re-examination will have an end sem (covering the entire syllabus) and their grading will be as per scheme 1.
As heavy as possible. Zero-tolerance policy.
|Amit Kr Panditfirstname.lastname@example.org|
|Raj Prakash Gohilemail@example.com|
This course will use some standard books on digital signal processing:
We may also go through some articles and research papers in SP conferences (e.g., ICASSP, Interspeech, ISMIR, etc.) and journals (e.g., IEEE TASLP, etc.).