Signal Processing
Showing 36 of 90 projects
An interactive Jupyter Notebook book teaching Kalman and Bayesian filters through Python code and practical examples.
A NumPy/SciPy-compatible array library for GPU-accelerated computing with Python, supporting NVIDIA CUDA and AMD ROCm.
Automatically extracts and selects relevant features from time series data for machine learning tasks.
A Python library for music and audio analysis, providing tools for feature extraction, visualization, and transformation.
A Python library for audio feature extraction, classification, segmentation, and machine learning applications.
A comprehensive .NET audio library for playback, recording, format conversion, MIDI, and audio manipulation.
A collection of parallel image processing algorithms implemented in pure Go.
Open-source C++ library for audio analysis, music information retrieval, and synthesis with Python bindings.
A library for audio and music analysis, detecting events like onsets, pitch, tempo, and beats in audio signals.
A deep learning library for audio and music analysis, providing time-frequency transforms and feature extraction for tasks like classification and MIR.
An audio library for PyTorch providing data manipulation, transformations, and dataset loaders for machine learning applications.
A comprehensive Python library for solving optimal transport problems with solvers for linear, entropic, Gromov-Wasserstein, and unbalanced OT, plus machine learning applications.
An open-source framework that enables Python programming for Xilinx Zynq APSoCs to design high-performance embedded systems.
An open-source software-defined receiver for GPS, Galileo, GLONASS, and BeiDou signals, enabling custom GNSS processing.
A simple, portable Fast Fourier Transform (FFT) library for C with support for fixed and floating point data types.
A high-performance GPU-accelerated Fast Fourier Transform library supporting Vulkan, CUDA, HIP, OpenCL, Level Zero, and Metal backends.
Python audio and music signal processing library
A curated list of Python software and packages for scientific audio and music research.
A curated list of Python software and packages for scientific audio and music research.
A cross-platform C++ audio synthesis and signal processing library with JavaScript bindings for music DSP applications.
FM-RDS transmitter using the Raspberry Pi's PWM to generate FM modulation with real-time RDS data.
A sound and music computing system for audio synthesis, processing, and composition.
A Python module written in C for digital signal processing, enabling real-time audio manipulation and synthesis within Python scripts.
A dedicated OCaml system for scientific and engineering computing, providing n-dimensional arrays, linear algebra, algorithmic differentiation, and neural networks.
A Python framework for processing seismological data, providing parsers, data clients, and signal processing routines.
A lightweight Swift framework for reactive and functional reactive programming across Apple platforms and Linux.
An audio processing toolbox using PyTorch 1D convolutional neural networks for on-the-fly spectrogram generation with trainable kernels.
A Mode S decoder for RTLSDR devices that decodes aircraft ADS-B signals with robust error correction and network streaming.
A TensorFlow-based educational project for learning seq2seq RNNs through signal forecasting exercises.
GPU-accelerated audio preprocessing layers for Keras/TensorFlow, enabling real-time audio feature extraction within neural networks.
A Swift library for monophonic pitch detection in audio signals, offering multiple estimation algorithms.
A Python framework for creating flexible and robust spike sorting pipelines in neuroscience electrophysiology.
A Python wrapper for the high-quality WORLD vocoder, enabling speech parameterization and synthesis.
A high-performance, header-only C++ library for realtime IIR digital signal processing with Butterworth, Chebyshev, and RBJ filters.
A high-performance JavaFX charting library for real-time scientific data visualization, handling up to 5 million data points at 25 Hz.
A Swift library providing NumPy-like matrix operations and machine learning algorithms for iOS/macOS development.
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