Signal compression and reconstruction on complexes preserving topological features via Discrete Morse Theory
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Updated
May 31, 2022 - Jupyter Notebook
Signal compression and reconstruction on complexes preserving topological features via Discrete Morse Theory
A classical digital signal processing (DSP) library in Python for generating realistic synthetic physiological signals (ECG, EEG, EMG, PPG, EDA, respiration) with parameterized physical noise models.
Resources for the book "Complex Networks: A Networking and Signal Processing Perspective"
Python package for implementing graph signal processing on extension (higher dimensional) algebras (currently, quaternions).
Deep learning system that interprets brain signals from EEG/fMRI to control devices, predict neurological disorders, and enable brain-computer interfaces.
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