signals
Signals
Signals
Intro
"Simple" but Elegant Filters
Machine Learning for Signal Processing
Pattern Recognition
Time Series Analysis
To Read
Robi Polikar's Tutorial on Wavelet Analysis. Still not quite sure what it can do, will need to ask Matt if it will be useful. Seems like it might be useful for data compression. Also has really good tutorial PDF's on Pattern Recognition (hidden markov models, nearest neighbor analysis) and Ensemble Decision Making.


Books I Like
Understanding DSP (by Lyons)
Chapters 13
Periodic sampling of 250 Hz allows a 10 Hz signal to look like a 10 Hz signal and a 240 and 260 Hz signal in the frequency domain! Doesn't really matter in Matlab experimenting, but can screw you up when you are demodulating a signal or getting high frequencies corrupting your signal (because they too can be interpreted as a slowmoving sine wave).
Little difference between Hanning and Hamming windows, but you do want to use them! They reduce sidelobe leakage by a ton, but come at the cost of a 2X larger main lobe size.
FFT (Ch. 4)
Skipping for now…maybe I'll get more interested eventually. Basically, there are redundancies in computing the DFT (can halve spectrum computation w/ real input signals), and some other things I don't understand yet.
Books I Will Like
signals.txt · Last modified: 2017/09/15 17:58 (external edit)