This project is for making a 32-band audio (music) frequency spectrum analyzer / visualizer using Arduino.
This code performs FFT with good accuracy.
This function performs FFT with very good speed while maintaining accuracy.
Create a real-time audio spectrogram visualizer using a Raspberry Pi Pico, digital microphone and LCD display.
M5StickC (ESP32 Pico) with built-in i2s microphone is used for audio spectrum analysis (ArduinoFFT) and visualization on an RGB led strip.
This project is performing a faster frequency transform (FFT).
Fully pipelined implementation of FFT with fixed-point arithmetic in Vitis HLS
A simple yet effective demonstrator of a gear pump endorsed with Arduino Nano + MPU6050 accelerometer to measure vibrations.
A 32-channel RGB audio spectrum analyzer / visualizer driven by teensy 3.2 with FFT using WS2812B 32x8 RGB LED
Not yet another spectrum analyzer — an experimental DSP & graphics playground. It combines real-time C++ performance with Python flexibility
Using a TI F28379D Launchpad and a plastic recorder we coded a robot to move. Using WiFi an ESP8266 sent the notes to LABView on a computer.
Fully configurable music visualizer for Raspberry Pi, Windows, or Ubuntu
