| File | Description |
|---|---|
| autoenc_denoise.py | Simple demo of autoencoder structure for denoising a signal (keras, sklearn) |
| filtering.py | Basic filtering options - fir, iir, convolution (numpy, scipy) |
| griffinlim.py | Griffin-Lim algo for time-series recovery from spectrogram (librosa) |
| sktime_shapelets.py | Time-series classification using sktime shapelets (sktime) |
| spectrogram.py | Basic spectrogram generation (direct and via sftf) - some phase-shiting thrown in for fun (scipy) |
| threading_demo.py | Basic multithreading with input and output queues (multiprocessing, threading) |
| wavelets.py | Denoising using wavelets (numpy, skimage) |
(1) A small demo of using UMAP in a generative manner for time series UMAP Inversion.
(2) A demo of broadband channel estimation (system inversion) for improving quadrature image rejection Quadrature Correction.
(3) A neural network for solving Conway's Game of Life GOL NN.
(4) Feedback Delay Network Demo FDN.