waveform-analysis

Implementation of the Wave-U-Net for audio source separation

Problem Agnostic Speech Encoder

WAVE deep learning for signal readout and reconstruction in full-waveform time-of-flight particle detectors.

Experimental Python tools for SANDD particle-detector waveform processing, timing and charge reconstruction, candidate selection, and ROOT visualization.

Scripts for M-LARGE training and analysis

Audio input -> real-time analysis -> OSC output. Takes in real-time audio, does feature extraction using smart algorithms then sends out OSC to be used in other programs.

A GUI to draw your own waveform in the time or frequency domain and play with a MIDI keyboard.

Python package for automatic first-arrival time picking in acoustic emission and microseismic data using AIC, STA/LTA, and energy-based methods.

Eridian to English Translator as described in Andy Weirs 'Project Hail Mary'

A deep learning framework for estimating battery State of Charge (SoC) using ultrasonic waveforms and waveform images. This repository includes spectrogram/image generation, multimodal neural network models, and evaluation tools developed at WMG in collaboration with Imperial College London.

Audio visualization tool for generating detailed spectrograms from FLAC files, featuring customizable parameters and zoom functionality for precise audio analysis

Pulse wave analysis and representation learning methods using FlowEHealth's patented sensing technology.

melafit: High-precision 24h melatonin profile analysis. Features bimodal skewed baseline cosine fitting (Van Someren & Nagtegaal, 2007) and a robust cost function (Gabel et al., 2017) for superior convergence, even with sparse data.

A distributed waveform separation service using Facebook's Demucs, Redis, and Min.io.

SystemVerilog RTL implementation of a 5-stage pipelined RISC-V processor with hazard detection, forwarding, stall/flush control, simulation verification, and Vivado synthesis.

Earthquake relocation pipeline: DBSCAN clustering, waveform cross-correlation, and GrowClust3D relative relocation with 3D travel time grids

Design and simulation of 16-bit Ripple Carry and Weinberger Adders using Cadence Virtuoso. Includes full adder modeling, schematic creation, waveform analysis, and detailed delay-power comparison.

Simulate and analyze fundamental logic gates using Icarus Verilog and GTKWave. This project provides a modular Verilog implementation and a comprehensive testbench for precise validation, offering valuable insights into digital design workflows for VLSI professionals.

This project implements a basic McCulloch–Pitts artificial neuron. The current versions supports two binary inputs, a programmable threshold and inhibitory weights allowing it to emulate logic functions such as AND, OR and NOT⚡.

This repository presents a minimal early‑warning method for failure detection. Before structural failure, the number of critical points in the signal increases. By extracting raw, smoothed, and critical‑point sequences, and tracking the critical‑point time series, structural changes can be quantified as an early signal.