This project is for making a 32-band audio (music) frequency spectrum analyzer / visualizer using Arduino.
Learn how to sample at up to 500 kHz on the Raspberry Pi Pico and compute a Fast Fourier Transform on captured data
This code performs FFT with good accuracy.
Learn how to add an FFT accelerator for Xilinx MPSoC devices using the Vitis acceleration flow.
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.
Solar Harvesting LIC Powered vibration monitoring solution makes uses of embedded AI models to classify vibration anomalies for logistics.
For 8-bit MCU, optimization of filtering requires tradeoffs between accuracy, ease of programming. and speed.
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).
A small gadget that uses an OLED display and the FFT library to generate the audio spectrum. Add a pinch of life to your music.
An efficient way to implement FFT using Arduino
This is not a full project for a DSO Oscilloscope made with Arduino, but a description of my experiments
A simple yet effective demonstrator of a gear pump endorsed with Arduino Nano + MPU6050 accelerometer to measure vibrations.
Fully pipelined implementation of FFT with fixed-point arithmetic in Vitis HLS
A 32-channel RGB audio spectrum analyzer / visualizer driven by teensy 3.2 with FFT using WS2812B 32x8 RGB LED
In this project, a robot's movement is controlled by a fast Fourier transform and its reading of various frequencies and beats.
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.
This project uses a microphone analog input, performs an FFT on the data and displays its frequency spectrum to an RGB LED matrix.
