I'm working on a C#4.0/WPF Real time Spectrum Analyser (as a base of another project). I use NAudio last version to get real time audio output on sound card, and WPFSoundVisualizationLib (http://wpfsvl.codeplex.com/) for the Spectrum Analyser WPF Control. With this amazing tools, the work is almost done, but it doesn't work right :-(
I have a functional Spectrum, but information are not rights, and I don't understand where the problem come from... (I have compare my Spectrum with Equalify, a Spectrum/equaliser for Spotify, and I don't have the same behavior)
This is my main class :
using System;
using System.Windows;
using WPFSoundVisualizationLib;
namespace MySpectrumAnalyser
{
public partial class MainWindow : Window
{
private RealTimePlayback _playback;
private bool _record;
public MainWindow()
{
InitializeComponent();
this.Topmost = true;
this.Closing += MainWindow_Closing;
this.spectrum.FFTComplexity = FFTDataSize.FFT2048;
this.spectrum.RefreshInterval = 60;
}
private void MainWindow_Closing(object sender, System.ComponentModel.CancelEventArgs e)
{
if (this._record)
{
this._playback.Stop();
}
}
private void Button_Click_1(object sender, RoutedEventArgs e)
{
if (this._playback == null)
{
this._playback = new RealTimePlayback();
this.spectrum.RegisterSoundPlayer(this._playback);
}
if (!this._record)
{
this._playback.Start();
this.Dispatcher.Invoke(new Action(delegate
{
this.btnRecord.Content = "Stop";
}));
}
else
{
this._playback.Stop();
this.Dispatcher.Invoke(new Action(delegate
{
this.btnRecord.Content = "Start";
}));
}
this._record = !this._record;
}
}
}
And my loopback analyser (which implements ISpectrumPlayer for using with the WPFSoundVisualizationLib Spectrum control).
LoopbackCapture inherits NAudio.CoreAudioApi.WasapiCapture.
Received data from Wasapi is a byte array (32 bits PCM, 44.1kHz, 2 channels, 32 bits per sample)
using NAudio.Dsp;
using NAudio.Wave;
using System;
using WPFSoundVisualizationLib;
namespace MySpectrumAnalyser
{
public class RealTimePlayback : ISpectrumPlayer
{
private LoopbackCapture _capture;
private object _lock;
private int _fftPos;
private int _fftLength;
private Complex[] _fftBuffer;
private float[] _lastFftBuffer;
private bool _fftBufferAvailable;
private int _m;
public RealTimePlayback()
{
this._lock = new object();
this._capture = new LoopbackCapture();
this._capture.DataAvailable += this.DataAvailable;
this._m = (int)Math.Log(this._fftLength, 2.0);
this._fftLength = 2048; // 44.1kHz.
this._fftBuffer = new Complex[this._fftLength];
this._lastFftBuffer = new float[this._fftLength];
}
public WaveFormat Format
{
get
{
return this._capture.WaveFormat;
}
}
private float[] ConvertByteToFloat(byte[] array, int length)
{
int samplesNeeded = length / 4;
float[] floatArr = new float[samplesNeeded];
for (int i = 0; i < samplesNeeded; i++)
{
floatArr[i] = BitConverter.ToSingle(array, i * 4);
}
return floatArr;
}
private void DataAvailable(object sender, WaveInEventArgs e)
{
// Convert byte[] to float[].
float[] data = ConvertByteToFloat(e.Buffer, e.BytesRecorded);
// For all data. Skip right channel on stereo (i += this.Format.Channels).
for (int i = 0; i < data.Length; i += this.Format.Channels)
{
this._fftBuffer[_fftPos].X = (float)(data[i] * FastFourierTransform.HannWindow(_fftPos, _fftLength));
this._fftBuffer[_fftPos].Y = 0;
this._fftPos++;
if (this._fftPos >= this._fftLength)
{
this._fftPos = 0;
// NAudio FFT implementation.
FastFourierTransform.FFT(true, this._m, this._fftBuffer);
// Copy to buffer.
lock (this._lock)
{
for (int c = 0; c < this._fftLength; c++)
{
this._lastFftBuffer[c] = this._fftBuffer[c].X;
}
this._fftBufferAvailable = true;
}
}
}
}
public void Start()
{
this._capture.StartRecording();
}
public void Stop()
{
this._capture.StopRecording();
}
public bool GetFFTData(float[] fftDataBuffer)
{
lock (this._lock)
{
// Use last available buffer.
if (this._fftBufferAvailable)
{
this._lastFftBuffer.CopyTo(fftDataBuffer, 0);
this._fftBufferAvailable = false;
return true;
}
else
{
return false;
}
}
}
public int GetFFTFrequencyIndex(int frequency)
{
int index = (int)(frequency / (this.Format.SampleRate / this._fftLength / this.Format.Channels));
return index;
}
public bool IsPlaying
{
get { return true; }
}
public event System.ComponentModel.PropertyChangedEventHandler PropertyChanged;
}
}
GetFFTData is called by the WPF control every 60ms for updating Spectrum.
Advanced FFT Spectrum Analyzer is a real-time ( RTA ) powerful audio tool to visualize and analyze signals from android device microphone in frequency domain.
The spectrum analyzer is a specialized type of a sound level meter. Consequently, it allows the engineer to examine the amplitude versus the frequency spectrum of a sound. They use multiple sets of filter networks and vertical colums display the information arranged from low to high frequencies, left to right.
The display of a spectrum analyzer has frequency on the horizontal axis and the amplitude displayed on the vertical axis. To the casual observer, a spectrum analyzer looks like an oscilloscope and, in fact, some lab instruments can function either as an oscilloscope or a spectrum analyzer.
I might be a little late to answer this, but here we are.
You are almost there. You just need to provide the amplitude of the complex numbers that FFT returns instead of the X value.
So in the for loop, instead of this:
this._lastFftBuffer[c] = this._fftBuffer[c].X;
do this:
float amplitude = (float)Math.Sqrt(this._fftBuffer[c].X * this._fftBuffer[c].X + this._fftBuffer[c].Y * this._fftBuffer[c].Y);
this._lastFftBuffer[c] = amplitude;
Cheers!
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