The Band-Stop Filter Audio Processing project showcases the implementation and effects of a band-stop filter on various audio signals. It features MATLAB scripts for adding noise to audio files and applying a tenth-order Butterworth band-stop filter via bilinear transform. Contains the options to select from multiple bandwidths and audio files.

The main scope of this app is to collect raw data, processing them into usable data, measure varius indicators and export final results to create useful conclusions concerning of the needs of the reaserch..

A Java Library for Digital Signal Processing

This repository covers the basics of image processing using MATLAB. Includes 10 problems and solutions with corresponding MATLAB files. Ideal for beginners in image processing ... ❤️

Python Jupyter notebook for Neuralink Patent No. US 2021/0012909 A1, titled "Real-Time Neural Spike Detection"

EEGLAB tutorial in MATLAB

tauri app for butterworth filter

This reposetory contains codes on MATLAB to process Pressure Signals.

Digital Audio Filtering Project: A Python-based toolkit for manipulating and analyzing audio signals, offering time and frequency domain visualizations and customizable filtering options.

TP effectué en utilisant Python qui aborde la création d'un filtre passe-bande en utilisant un filtre de Butterworth.

An LTspice project which contains third-order Butterworth filters built both using an inductor and a current conveyor.

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。

Some image filters in Matlab

Engineering Toolkit for Java

C++ classes for designing high-order Butterworth IIR & equalization filters

Digital signal processing library including: polynomial fitting, filtering, etc. Where possible API facilitates real-time applications

Component value calculator for scaling and offset amplifier circuits and lowpass filters using Texas Instrumetns application notes

Simple Chebyshev and Butterworth implementation

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

Preprocessing, analysis and classification of EEG signals into 4 classes.