Signal Processing
Showing 18 of 90 projects
Interactive Jupyter notebook exercises for an audio signal processing lecture, covering practical implementations and simulations.
A Python demonstration of applying a Butterworth low-pass filter to a signal and visualizing its Short-Time Fourier Transform and Laplace transform.
A pure Lua package for Fast Fourier Transformations based on KissFFT, with complex number support.
A fast Modified Discrete Cosine Transform implementation using SciPy and FFTs for audio coding applications.
A D3.js library for detecting peaks in noisy signals using continuous wavelet transform-based pattern matching.
A signal processing toolbox for Torch 7 providing Fourier transforms, spectrograms, and other signal analysis functions.
An Elixir library for generating audio signals with basic oscillators and filters, supporting WAV file output and direct audio playback.
A C++ library with Python bindings for modelling perceived loudness using cascadable processing modules.
Go bindings for libsamplerate, a high-quality audio sample rate conversion library.
A Java scientific computing library providing SciPy-like signal processing, FFT, filtering, and analysis for JVM and Android applications.
A Python implementation of the Common Fate Transform and Model for audio source separation via spectral-temporal modulation analysis.
A MicroPython library for decoding PPM signals from RC receivers with built-in safety features for signal loss detection.
MicroPython library for sniffing and replaying infrared remote signals on Pyboard.
A DCF77 time signal transmitter for Raspberry Pi Pico W that emulates the German longwave time standard for proximate clock synchronization.
Crystal language wrapper for the FFTW 3 library, enabling high-performance Fourier transforms.
A MicroPython utility for decoding R/C receiver PPM frame signals from radio control systems.
A compact implementation of numpy's core matrix and array operations for Micropython microcontrollers.
Legacy fMRI preprocessing pipeline leveraging AFNI, ANTs, FSL, and other neuroimaging tools for signal processing and analysis.
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