kopia lustrzana https://github.com/debsahu/ESP32_FFT_Audio_LEDs
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# ESP32_FFT_Audio_LEDs
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# ESP32 Fast Fourier Transform of Audio & WS2812B mapping
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[![License: MIT](https://img.shields.io/github/license/debsahu/ESP32_FFT_Audio_LEDs.svg)](https://opensource.org/licenses/MIT) [![LastCommit](https://img.shields.io/github/last-commit/debsahu/ESP32_FFT_Audio_LEDs.svg?style=social)](https://github.com/debsahu/ESP32_FFT_Audio_LEDs/commits/master)
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Here we use ESP32 microcontroller to analyze real-time audio signals
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- Real-time FFT to get frequencies (99% of code from [ESP32-8266-Audio-Spectrum-Display Project](https://github.com/G6EJD/ESP32-8266-Audio-Spectrum-Display) by [**@G6EJD**](https://github.com/G6EJD))
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- Or use MSGEQ7 chip to get the same data
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- Display frequency bands on LEDs as bars
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[![ESP32_FFT_AUDIO_LEDs](https://img.youtube.com/vi/XXXXXXXXXXX/0.jpg)](https://www.youtube.com/watch?v=XXXXXXXXXXX)
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## Libraries Needed
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[Software FFT platformio.ini](https://github.com/debsahu/ESP32_FFT_Audio_LEDs/blob/master/microphone_esp8266_fft/platformio.ini) and [Hardware FFT platformio.ini](https://github.com/debsahu/ESP32_FFT_Audio_LEDs/blob/master/microphone_esp8266_msgeq7/platformio.ini) is included, use [PlatformIO](https://platformio.org/platformio-ide) and it will take care of installing the following libraries.
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| Library | Link |
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|---------------------------|------------------------------------------------------------|
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|arduinoFFT |https://github.com/kosme/arduinoFFT |
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|WS2812FX |https://github.com/kitesurfer1404/WS2812FX |
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|MD_MSGEQ7 |https://github.com/debsahu/MD_MSGEQ7 |
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## Known Limitations
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- Sampling frequency must be high
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- Sampling time should not interfere with other WiFi functions
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- FFT calculations are CPU intensive
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- Frequency binning needs to be done manually
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## Wiring
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![ww_wiring](https://github.com/debsahu/ESP32_FFT_Audio_LEDs/blob/master/docs/software_fft.png)
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![hw_wiring](https://github.com/debsahu/ESP32_FFT_Audio_LEDs/blob/master/docs/hardware_fft.png)
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