I'm looking at the aurioTouch sample application for the iPhone SDK. It has a basic spectrum analyzer implemented when you choose the "FFT" option. One of the things the app is lacking is X axis labels (i.e. the frequency labels).
In the aurioTouchAppDelegate.mm file, in the function - (void)drawOscilloscope
at line 652, it has the following code:
if (displayMode == aurioTouchDisplayModeOscilloscopeFFT)
{
if (fftBufferManager->HasNewAudioData())
{
if (fftBufferManager->ComputeFFT(l_fftData))
[self setFFTData:l_fftData length:fftBufferManager->GetNumberFrames() / 2];
else
hasNewFFTData = NO;
}
if (hasNewFFTData)
{
int y, maxY;
maxY = drawBufferLen;
for (y=0; y<maxY; y++)
{
CGFloat yFract = (CGFloat)y / (CGFloat)(maxY - 1);
CGFloat fftIdx = yFract * ((CGFloat)fftLength);
double fftIdx_i, fftIdx_f;
fftIdx_f = modf(fftIdx, &fftIdx_i);
SInt8 fft_l, fft_r;
CGFloat fft_l_fl, fft_r_fl;
CGFloat interpVal;
fft_l = (fftData[(int)fftIdx_i] & 0xFF000000) >> 24;
fft_r = (fftData[(int)fftIdx_i + 1] & 0xFF000000) >> 24;
fft_l_fl = (CGFloat)(fft_l + 80) / 64.;
fft_r_fl = (CGFloat)(fft_r + 80) / 64.;
interpVal = fft_l_fl * (1. - fftIdx_f) + fft_r_fl * fftIdx_f;
interpVal = CLAMP(0., interpVal, 1.);
drawBuffers[0][y] = (interpVal * 120);
}
cycleOscilloscopeLines();
}
}
From my understanding, this part of the code is what is used to decide which magnitude to draw for each frequency in the UI. My question is how can I determine what frequency each iteration (or y
value) represents inside the for
loop.
For example, if I want to know what the magnitude is for 6kHz, I'm thinking of adding a line similar to the following:
if (yValueRepresentskHz(y, 6))
NSLog(@"The magnitude for 6kHz is %f", (interpVal * 120));
Please note that although they chose to use the variable name y
, from what I understand, it actually represents the x-axis in the visual graph of the spectrum analyzer, and the value of the drawBuffers[0][y]
represents the y-axis.
I believe that the frequency of each bin it is using is given by
I'm fairly certain that you need the .5 because yFract is a fraction of the total fftLength and the last bin of the FFT corresponds with half of the sampling rate. Thus, you could do something like
Hopefully that helps to point you in the right direction at least.