There are 93 repositories under digital-signal-processing topic.
Arduino Audio Tools (a powerful Audio library not only for Arduino)
Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON, RISC-V RVV)
SincNet is a neural architecture for efficiently processing raw audio samples.
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Digital Signal Processing - Theory and Computational Examples
Overview of the peaks dectection algorithms available in Python
Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
:sound: Collected C++ implementations of the classic 4-pole moog ladder filter
Control adaptive filters with neural networks.
A Machine Learning Approach of Emotional Model
Fast Fourier transforms (FFTs) in Rust
A high-performance, "quantum-inspired" Fast Fourier Transform (FFT) library written in pure and safe Rust.
A cross-platform DSP library written in C++ 11/14. This library harnesses the power of C++ templates to implement a complete set of DSP algorithms.
Source code for the book Code Your Own Synth Plug-Ins With C++ and JUCE
Simulate optical communications systems with Python.
Implement Digital Signal Processing (DSP) systems and create audio applications using high performance and energy-efficient Arm processors
Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parameter estimation as ARMA-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mode decomposition (EMD); empirical wavelet transform (EWT); Hilbert vibration decomposition (HVD) and many others.
《FPGA应用开发和仿真》(机械工业出版社2018年第1版 ISBN:9787111582786)的源码。Source Code of the book FPGA Application Development and Simulation(CHS).
A list of open resources for learning and working with digital signal processing.
👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.
Electrical Engineering Formulas in Python
:guitar::long_drum::magic_wand: Make DSP Great Again. Powered by RISC-V!
A spectral visualizer that analyzes the frequencies of music and sound, written in Godot 3.1.