Shibani Das's repositories
3-level-DWT-
3 level Discrete wavelet transform gives 4 outputs- Detail coefficients at level 3, at level 2 , at level 1 and approx. coefficients at level 3
dft_dtft_fft-of-128-vowel-samples
Input : 128 vowel samples and implements dtft, dft and fft
dtft_dft_fft-of-5590-vowel-samples-
Since FFT runs on "divide and conquer" concept, so Input should contain 2 power no of samples. But 5590 is not. So padding is used here.
dtft_dft_fft-of-recorded-vowel-samples-with-the-help-of-window
There are all total 12055 vowel samples in the file. Taking window size as 256 samples and covering till 12032 samples and ignoring the last 23 samples. This is better than lots of padding.
Frequency-domain-analysis-and-DWT-of-speech-signals
It contains the most important points that you must know about Fourier Analysis, Fourier Transforms and DWT
Hello-World
First repository
Taking-overlapped-windows-
fft on 12055 recorded vowel samples. Taking window size =256 samples and overlapped windows by shifting 100 samples everytime. For example, first set contains 1-256 samples, then 101 to 356 and so on. Padding limit =uptill 10 paddings