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- /*
- This example reads audio data from an Invensense's ICS43432 I2S microphone
- breakout board, and prints out the spectrum to the Serial console. The
- Serial Plotter built into the Arduino IDE can be used to plot the audio
- amplitude data (Tools -> Serial Plotter)
- Circuit:
- * Arduino/Genuino Zero, MKRZero or MKR1000 board
- * ICS43432:
- * GND connected GND
- * 3.3V connected 3.3V (Zero) or VCC (MKR1000, MKRZero)
- * WS connected to pin 0 (Zero) or pin 3 (MKR1000, MKRZero)
- * CLK connected to pin 1 (Zero) or pin 2 (MKR1000, MKRZero)
- * SD connected to pin 9 (Zero) or pin A6 (MKR1000, MKRZero)
- created 21 November 2016
- by Sandeep Mistry
- */
- #include <ArduinoSound.h>
- // sample rate for the input
- const int sampleRate = 8000;
- // size of the FFT to compute
- const int fftSize = 128;
- // size of the spectrum output, half of FFT size
- const int spectrumSize = fftSize / 2;
- // array to store spectrum output
- int spectrum[spectrumSize];
- // create an FFT analyzer to be used with the I2S input
- FFTAnalyzer fftAnalyzer(fftSize);
- void setup() {
- // Open serial communications and wait for port to open:
- // A baud rate of 115200 is used instead of 9600 for a faster data rate
- // on non-native USB ports
- Serial.begin(115200);
- while (!Serial) {
- ; // wait for serial port to connect. Needed for native USB port only
- }
- // setup the I2S audio input for the sample rate with 32-bits per sample
- if (!AudioInI2S.begin(sampleRate, 32)) {
- Serial.println("Failed to initialize I2S input!");
- while (1); // do nothing
- }
- // configure the I2S input as the input for the FFT analyzer
- if (!fftAnalyzer.input(AudioInI2S)) {
- Serial.println("Failed to set FFT analyzer input!");
- while (1); // do nothing
- }
- }
- void loop() {
- // check if a new analysis is available
- if (fftAnalyzer.available()) {
- // read the new spectrum
- fftAnalyzer.read(spectrum, spectrumSize);
- // print out the spectrum
- for (int i = 0; i < spectrumSize; i++) {
- Serial.print((i * sampleRate) / fftSize); // the starting frequency
- Serial.print("\t"); //
- Serial.println(spectrum[i]); // the spectrum value
- }
- }
- }
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