🎶 🎵 🎼 Real-time FFT spectrum analyzer with ThreeJS, MeydaJS, RxJS.

C# implementation of Cooley–Tukey's FFT algorithm.

Spectral waterfall of live signals or recordings

A basic sound visualizer in Python, to transform an audio file in a little movie!

Signal analysis tool featuring FFT (fast Fourier transform), fractal dimension, entropy, and numerical differentiation and integration

WavvieW: Analyzes the noise-wave-generator, synthesizer, audio files, input-mic_line-in with Oscilloscope and Spectrum FFT.

An audio visualizer written using soundcard, scipy and pyqtgraph. Supports internal and microphone audio. Live waveform, buffered, hanning, FFT (frequency domain) etc.

🎙️ Fast, installable, in-browser audio spectrum visualizer. Support for both realtime and audio files!

autofft is a Matlab package which performs the time-frequency analysis without the need of Signal Processing Toolbox™. It mimics options of the Brüel & Kjaer FFT analysers and focuses on fast and accurate estimates of averaged autospectra (also called modified periodograms) and spectrograms.

Kick drum keyfinder.

Online web based mel-spectrum, power spectrum, FFT analyzer for speech and music processing

Chat using „enhanced“ end-to-end-enryption and modulation of audio signal in isolated device, ensuring privacy, anonymity and cybersecurity.

Решение задач по анализу временных рядов: детекция пиков QRS на сигналах ЭКГ с помощью ML, прогнозирование заболеваемости COVID с помощью LSTM и др.

AudioSpectraCLI is a tool that provides real-time FFT visualization of audio spectra. It captures audio input from the microphone and displays the corresponding frequency spectrum directly, allowing users to monitor and analyze audio signals.

🎧 Piano-Perfect Audio Spectrogram. Unlock a hidden Absolute Pitch in you. Lightning fast, reliable, customizable.

Discrete / Fast Fourier Transform and Inverse FFT with Excel VBA

Audio Quality Measurement Software

a simple spectrum analyzer (audio visualizer) using python and esp8266

This is official repository of our paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification". Codes include a two stage model to achieve drone detection and classification using some FFT/STFT analytical method. The Raw data will be free to use after our paper is accept. Star us!!!!, if you think this is useful♥