A Java Library for Digital Signal Processing

Elegant Butterworth and Chebyshev filter implemented in C, with float/double precision support. Works well on many platforms. You can also use this package in C++ and bridge to many other languages for good performance.

The PyTorch version of ChebNet.

Engineering Toolkit for Java

Digital signal processing library

This repository mirrors the principal Gitlab repository of the Chebyshev Accelerated Subspace iteration Eigensolver. If you want to contribute as developer to this project please contact e.di.napoli@fz-juelich.de.

A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorflow. This has been taken from https://www.kaggle.com/abhilash1910/nlp-workshop-ml-india-deep-graph-learning to apply GNNs/node embeddings on NLP task.

Comparison of IIR Notch Filter for removal of power line interference in ECG signal using MATLAB 2015a

基于.Net Framework/WPF框架开发的、用于进行数字信号处理的软件平台，具有多种信号生成器、信号转换器、滤波器以及多种通用信号处理算法。

The official PyTorch implementation of Converter.

Web Audio high quality spectogram from biquad bandpass filters

Real-time FIR and IIR filters designed for use with vst's

Scripts for the study of n-th order Type 1 Chebyshev filters

The official PyTorch Geometric implementation of ChebGibbsNet.

In these codes, my main task was to design efficient digital filters to eliminate all the noise sources associated with the ECG signal so as to get a noise free ECG signal as output from the filters.

Digital Audio Noise Filtering with MATLAB and Verilog This project implements a complete end-to-end system for detecting and filtering noise from real-world audio using a combination of MATLAB signal processing and Verilog hardware design. Starting from spectral analysis and filter synthesis in MATLAB, it proceeds to fixed-point audio formatting,

This program allows users to design various types of filters based on the Butterworth, Chebyshev, and Inverse Chebyshev filter design methods.

Recommendation System by Using Factorized based matrix completion MGCNN+RNN

Designed Bandpass and Bandstop IIR filters using the Butterworth, Chebyschev and Elliptic approximation. Also designed Bandpass and Bandstop FIR filters using the Kaiser Window to compute the coefficients of impulse response

Lightweight Bilinear Transform (BLT) filter implementations for DSP in sensor fusion and audio.