各位大神好，c# 新手，这个是语音识别代码，基于微软 XBOX 的，不知道这个波束形成和置信度式子含义，求助！！！！

1、这个是置信度模块，具体式子这种到底什么原理？？？vs2010中的代码
private void AudioSourceSoundSourceAngleChanged(object sender, SoundSourceAngleChangedEventArgs e)
        {
            const double MinGradientWidth = 0.04;

            double halfWidth = Math.Max((1 - e.ConfidenceLevel), MinGradientWidth) / 2;

            this.sourceGsPre.Offset = Math.Max(this.sourceGsMain.Offset - halfWidth, 0);
            this.sourceGsPost.Offset = Math.Min(this.sourceGsMain.Offset + halfWidth, 1);

            sourceRotation.Angle = -e.Angle;

            sourceAngleText.Text = string.Format(CultureInfo.CurrentCulture, Properties.Resources.SourceAngle, e.Angle.ToString("0", CultureInfo.CurrentCulture));
            sourceConfidenceText.Text = string.Format(CultureInfo.CurrentCulture, Properties.Resources.SourceConfidence, e.ConfidenceLevel.ToString("0.00", CultureInfo.CurrentCulture));
        }

这个是读线程模块，里头式子含义，急求！！！！新手。大神求帮忙
  private void AudioReadingThread()
        {
              const double EnergyNoiseFloor = 0.2;

            while (this.reading)
            {
                int readCount = audioStream.Read(audioBuffer, 0, audioBuffer.Length);
                lock (this.energyLock)
                {
                    for (int i = 0; i < readCount; i += 2)
                    {
                         short audioSample = BitConverter.ToInt16(audioBuffer, i);
                        this.accumulatedSquareSum += audioSample * audioSample;
                        ++this.accumulatedSampleCount;

                        if (this.accumulatedSampleCount < SamplesPerColumn)
                        {
                            continue;
                        double meanSquare = this.accumulatedSquareSum / SamplesPerColumn;
                        double amplitude = Math.Log(meanSquare) / Math.Log(int.MaxValue);
                        this.energy[this.energyIndex] = Math.Max(0, amplitude - EnergyNoiseFloor) / (1 - EnergyNoiseFloor);
                        this.energyIndex = (this.energyIndex + 1) % this.energy.Length;

                        this.accumulatedSquareSum = 0;
                        this.accumulatedSampleCount = 0;
                        ++this.newEnergyAvailable;
                    }
                }
            }
        }