On 06/27/2015 12:29 PM, kerdemdemir wrote:
Hi

My question is more about Maths than D lang,
I am hoping, maybe somebody worked with AutoCorrelation function before.


auto autoCorrelation(R)(R range)
         if (isRandomAccessRange!R)
{
     auto residual = residualPowerOf2(range.length); // Find how many
zeros to add
     auto fftResult = range.chain(repeat(0, residual)).fft(); // Takes FFT

     //First zip each element of fft with conjagute of fft
     auto autoCorrResult = fftResult.zip(fftResult.map!(a => a *
a.conj())).
                 map!( a=> a[0] * a[1] ). // Than multiple them
                 inverseFft(). // Than take inverse
                 dropBack(residual);//Drop the additional zeros

     auto finalResult = autoCorrResult.take(1). // Take DC element
                 chain(autoCorrResult[$/2..$]).//Take last half to
beginning
                 chain(autoCorrResult[1..$/2]). // First(negative lags)
to end
             map!(a => a.re); // I just need real part

     return finalResult ;
}


My autocorrelation method return some crazy values(finalResult[0] =
-101652). I am mostly suspicious about calculations to set
"finalResult"  variable.
...

One obvious problem is this:

fftResult.zip(fftResult.map!(a => a * a.conj())).map!(a=>a[0]*a[1]).

This computes a²·a̅ instead of a·a̅.

What is the source code for residualPowerOf2?

Also is there any performance issues? can I make this faster?


Probably you should use http://dlang.org/phobos/std_complex.html#.sqAbs instead. You then also don't need the final map to extract the real part.

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