Some Useful Links : PART – 3

~UT Austin EE 345S Real-Time DSP Lab Extra Resources~

Ankita Kaul

MIT OpenCourseWare:

*Advantages: Exceptional Lecture Notes! J The readings are more in depth than lecture material, but still quite fascinating.

*Disadvantages: The homework assignments and solutions were Advantages for practice, but many problems outside the scope of the 345S class.


UC-Berkeley DSP Class Page:

*Advantages: The articles and applets under ‘Resources’ are quite interesting and useful

*Disadvantages: Seemingly no actual Berkeley work actually on website, everything taken from other sources…


Carnegie Mellon DSP Class Page:

*Advantages: Lectures had a lot of Matlab code for personal demonstration purposes

*Disadvantages: The lecture notes themselves are far more math-y than the context of 345S – still interesting though


Purdue DSP Class Lecture Notes Page:

*Advantages: the notes are super simple and easy to understand

*Disadvantages: only covers ~first half of 345S coursework


Doing a search on Apple’s  iTunes U[niversity] for DSP provided numerous FREE lectures from MIT, UNSW, IIT, etc. for download as well.


Youtube Video Resources:

^Signal Processing Tutorial: Nyquist Sampling Theorem and Anti-Aliasing (Part 1)

*Advantages: visuals

*Disadvantages: voice was kind of annoying, a bit slow

^Sampling Rate, Nyquist Frequency, and Aliasing

*Advantages: visualization of basic concepts

*Disadvantages: very short, would have liked more explanation

^ Simple Filters Lecture, IIT-Delhi Lecture

*Advantages: explanations of going to and from magnitude/phase

*Disadvantages: watch out for lecturer’s accent

^FIR Filter Design, IIT-Delhi Lecture

*Advantages: significantly deeper explanations of math than in class

*Disadvantages: lecturer’s accent, video gets stuck about 30 seconds in

^Digital Filter Design

*Advantages: quite Advantages information – especially on design TRADEOFFs

*Disadvantages: sound quality, better off just reading slides while he lectures

Introduction to Mathematics for Digital Signal Processing

Signals and Systems

MIT – Open academy         Professor: Alan Oppenheim

The Scientist and Engineer’s Guide to

Digital Signal Processing

Second Edition



dsp e-learning link





ss e-learning link


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