After all these implements and texts designed by intellects we're vexed to find evidently there's still so much that hides.
May 15, 2011 8:47 AM Subscribe
I like math! I took an introductory undergraduate math course on DSP and, well, I want more.
posted by Nomyte to Education (2 answers total) 8 users marked this as a favorite
This was an upper-level undergraduate course — most of the students were graduating seniors. I myself am a few years out of undergrad and work in a cognitive neuroscience lab. Understanding DSP would be quite useful to me! My engineering background is nil and my math background is what I've managed to piece together through courses taken in my spare time.
DSP seems to be a vast subject. The class barely scratched the surface. We introduced Fourier series, the Fourier transform, DFT (as well as the DHT and DCT), the FFT algorithm, and looked briefly at wavelets. But all this was only covered in superficial detail, because it was still too much and most of the students in the class were adrift. Based on my final grade, I was apparently less adrift than most, but I still feel that I barely understand the material we did cover.
So, my questions:
- How is DSP typically covered in math and EE departments? The Internet suggests that undergrads typically only get a class or two on DSP, and that it's mostly studied at the graduate level. Is this accurate?
- If I did decide to take a graduate course on DSP, what sort of background would I need?
- I know nothing about circuits, processors, or "physical stuff." How far can I get into DSP without some knowledge of analog things?
- Searching Amazon suggests that Oppenheim is the DSP bible. Lyons is suggested as a gentle introduction, and Proakis is somewhere between them. I am not math-averse, and I'd prefer to avoid buying multiple expensive textbooks. I'm leaning toward the Proakis, which sounds like a good learning resource, but also a good reference. Alternative suggestions?
I appreciate your advice.