🧠 Process EEG signals using FFT, Hilbert transform, and wavelets for clear frequency analysis and visualization across multiple channels.
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Updated
Dec 18, 2025 - Jupyter Notebook
🧠 Process EEG signals using FFT, Hilbert transform, and wavelets for clear frequency analysis and visualization across multiple channels.
🚨 Detect survivors under debris using a portable tool that fuses radar, audio, and vibration signals with advanced processing and machine learning.
Simple FFmpeg video player
🎶 Analyze audio files effortlessly with high-fidelity metrics and integrate AI tools for seamless development workflows.
⚡ Simulate and analyze electrical power systems with Python, focusing on RMS, active power, harmonics, and phase shift for effective learning and development.
Python-based FM broadcast spectrum analysis using RTL-SDR, focused on FM stereo multiplex and baseband signal processing
An awesome list of frequency-domain methods for medical imaging, organized by task/backbone with transform tags (FFT/DWT/DCT) and injection tags.
A scientific computing environment similar to Octave/Matlab in pure JavaScript
Identifying blast-beats in songs using spectral analysis
C library for audio noise reduction and other spectral effects
An interactive Streamlit app designed to analyze and interpret Friends and Family Test (FFT) feedback, aimed at enhancing the responsiveness of Primary Care Services.
🤖prediction electrical activity of the brain between the people drink alcohol and have a depression
SciRS2 - Scientific Computing and AI in Rust
Mersenne prime search using integer arithmetic and an IDBWT via an NTT executed on the GPU through OpenCL.
Built a real-time, purely classical computer vision system for fabric defect detection using multi-method analysis (GLCM, FFT, Gabor, statistical variance, background subtraction, and edge–Hough), with IoU-based bounding box fusion for robust localization. Deployed and optimized the pipeline on Jetson Nano for real time defect detection.
dtFFT - DataTyped Fast Fourier Transform
Spectral mixing as a drop-in replacement for quadratic attention in LLMs.
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