digital-signal-processing
There are 709 repositories under digital-signal-processing topic.
kfrlib/kfr
Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON)
SatDump/SatDump
A generic satellite data processing software.
mravanelli/SincNet
SincNet is a neural architecture for efficiently processing raw audio samples.
hukenovs/dsp-theory
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
spatialaudio/digital-signal-processing-lecture
Digital Signal Processing - Theory and Computational Examples
MonsieurV/py-findpeaks
Overview of the peaks dectection algorithms available in Python
r9y9/pysptk
A python wrapper for Speech Signal Processing Toolkit (SPTK).
sfluor/musig
A shazam like tool to store songs fingerprints and retrieve them
stillwater-sc/universal
Large collection of number systems providing custom arithmetic and mixed-precision algorithms for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
ddiakopoulos/MoogLadders
:sound: Collected C++ implementations of the classic 4-pole moog ladder filter
mikeroyal/ISP-Guide
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.
r9y9/ttslearn
ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)
calebzulawski/fourier
Fast Fourier transforms (FFTs) in Rust
danyalimran93/Music-Emotion-Recognition
A Machine Learning Approach of Emotional Model
adobe-research/MetaAF
Control adaptive filters with neural networks.
QuState/PhastFT
A high-performance, "quantum-inspired" Fast Fourier Transform (FFT) library written in pure and safe Rust.
mohabouje/eDSP
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.
hollance/synth-plugin-book
Source code for the book Code Your Own Synth Plug-Ins With C++ and JUCE
sp-nitech/diffsptk
A differentiable version of SPTK
esimov/forensic
Copy-move image forgery detection library.
MVRonkin/dsatools
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.
loykylewong/FPGA-Application-Development-and-Simulation
《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).
diegoinacio/computer-vision-notebooks
👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.
signalo/signalo
A DSP toolbox with focus on embedded environments written in Rust.
arm-university/Digital-Signal-Processing-Education-Kit
Implement Digital Signal Processing (DSP) systems and create audio applications using high performance and energy-efficient Arm processors
psykulsk/RpiANC
Active Noise Control on Raspberry Pi
pysdr/pysdr
A guide for using Python as a software-defined radio (SDR) framework, for extremely rapid development of SDR apps/research with beautiful GUIs
Bauxitedev/spectral-visualizer
A spectral visualizer that analyzes the frequencies of music and sound, written in Godot 3.1.
777arc/PySDR
PySDR.org textbook source material, feel free to post issues/PRs
gemengtju/Tutorial_Speech_Signal_Processing
This repo summarizes the courses and materials for speech signal processing. You are kindly invited to pull requests.
everdrone/libsnd
Digital Signal Processing Library and Audio Toolbox for the Modern Synthesist.
openlists/DSPResources
A list of open resources for learning and working with digital signal processing.
theadamsabra/LearningfromAudio
Understand of the fundamentals of digital signal processing for Machine Learning/Deep Learning applications.
engineerjoe440/ElectricPy
Electrical Engineering Formulas in Python
edsonportosilva/OptiCommPy
Simulate optical communications systems with Python.
klangner/dsp.rs
Digital Signal Processing