NAudio fft结果给出所有频率C#的强度

代码(删除多余的,可能会增加错误)：

// Other inputs are also usable. Just look through the NAudio library.
private IWaveIn waveIn; 
private static int fftLength = 8192; // NAudio fft wants powers of two!

// There might be a sample aggregator in NAudio somewhere but I made a variation for my needs
private SampleAggregator sampleAggregator = new SampleAggregator(fftLength);

public Main()
{
    sampleAggregator.FftCalculated += new EventHandler<FftEventArgs>(FftCalculated);
    sampleAggregator.PerformFFT = true;

    // Here you decide what you want to use as the waveIn.
    // There are many options in NAudio and you can use other streams/files.
    // Note that the code varies for each different source.
    waveIn = new WasapiLoopbackCapture(); 

    waveIn.DataAvailable += OnDataAvailable;

    waveIn.StartRecording();
}

void OnDataAvailable(object sender,WaveInEventArgs e)
{
    if (this.InvokeRequired)
    {
        this.BeginInvoke(new EventHandler<WaveInEventArgs>(OnDataAvailable),sender,e);
    }
    else
    {
        byte[] buffer = e.Buffer;
        int bytesRecorded = e.BytesRecorded;
        int bufferIncrement = waveIn.WaveFormat.BlockAlign;

        for (int index = 0; index < bytesRecorded; index += bufferIncrement)
        {
            float sample32 = BitConverter.ToSingle(buffer,index);
            sampleAggregator.Add(sample32);
        }
    }
}

void FftCalculated(object sender,FftEventArgs e)
{
    // Do something with e.result!
}

和Sample Aggregator类：

using NAudio.Dsp; // The Complex and FFT are here!

class SampleAggregator
{
    // FFT
    public event EventHandler<FftEventArgs> FftCalculated;
    public bool PerformFFT { get; set; }

    // This Complex is NAudio's own! 
    private Complex[] fftBuffer;
    private FftEventArgs fftArgs;
    private int fftPos;
    private int fftLength;
    private int m;

    public SampleAggregator(int fftLength)
    {
        if (!IsPowerOfTwo(fftLength))
        {
            throw new ArgumentException("FFT Length must be a power of two");
        }
        this.m = (int)Math.Log(fftLength,2.0);
        this.fftLength = fftLength;
        this.fftBuffer = new Complex[fftLength];
        this.fftArgs = new FftEventArgs(fftBuffer);
    }

    bool IsPowerOfTwo(int x)
    {
        return (x & (x - 1)) == 0;
    }

    public void Add(float value)
    {
        if (PerformFFT && FftCalculated != null)
        {
            // Remember the window function! There are many others as well.
            fftBuffer[fftPos].X = (float)(value * FastFourierTransform.HammingWindow(fftPos,fftLength));
            fftBuffer[fftPos].Y = 0; // This is always zero with audio.
            fftPos++;
            if (fftPos >= fftLength)
            {
                fftPos = 0;
                FastFourierTransform.FFT(true,m,fftBuffer);
                FftCalculated(this,fftArgs);
            }
        }
    }
}

public class FftEventArgs : EventArgs
{
    [DebuggerStepThrough]
    public FftEventArgs(Complex[] result)
    {
        this.Result = result;
    }
    public Complex[] Result { get; private set; }
}

这就是我想的.我可能错过了一些东西.希望这可以帮助！