iOS Question Microphone audio visualizer feedback

[Alexander Stolte]

I have built an audio visualizer, but I don't know if it is correct and would be very grateful if someone here could take a look at the code and give me tips on how to improve it.

Example project are in the attachment.
It uses @klaus xfft lib.

Result:

B4XMainPage

Sub Class_Globals
    Private Root As B4XView
    Private xui As XUI
  
    Private recorder As AudioRecorder
    Private recording As Boolean

    Private AS_AudioVisualizer1 As AS_AudioVisualizer
End Sub

Private Sub xlbl_Start_Click
    Dim FileName As String = "recording.m4a"
    Dim Dir As String = File.DirTemp
    recorder.Initialize(Dir,FileName, 44100, True, 16, False)
    recorder.As(NativeObject).SetField("meteringEnabled", True)
    recorder.Record
    recording = True
    Dim nRecorder As NativeObject = recorder
    Do While recording
        nRecorder.RunMethod("updateMeters", Null)
        Sleep(40)
        If recording Then
            'Log(nRecorder.RunMethod("averagePowerForChannel:", Array(0)).AsNumber)
            Dim dbValue As Double = nRecorder.RunMethod("averagePowerForChannel:", Array(0)).AsNumber
            AS_AudioVisualizer1.UpdateWithDB(dbValue)
        End If

    Loop
End Sub

Private Sub xlbl_Stop_Click
    recording = False
    recorder.Stop
End Sub

Audio Visualizer

Sub Class_Globals
    Private mEventName As String 'ignore
    Private mCallBack As Object 'ignore
    Public mBase As B4XView
    Private xui As XUI 'ignore
    Public Tag As Object

    Private cvs As B4XCanvas
    Private FFT As xFFT
    Private NumBars As Int = 32
    Private NoiseThreshold As Double = 0.01
End Sub

Public Sub Initialize (Callback As Object, EventName As String)
    mEventName = EventName
    mCallBack = Callback

End Sub

'Base type must be Object
Public Sub DesignerCreateView (Base As Object, Lbl As Label, Props As Map)
    mBase = Base
    Tag = mBase.Tag
    mBase.Tag = Me

    FFT.Initialize
  
    cvs.Initialize(mBase)
End Sub

Private Sub Base_Resize (Width As Double, Height As Double)

End Sub

Public Sub UpdateWithDB(dBValue As Double)
    Dim amplitude As Double = DBToAmplitude(dBValue)
  
    ' FFT-Daten simulieren mit dem dB-Wert
    Dim fftData(NumBars) As Double
    For i = 0 To NumBars - 1
        fftData(i) = amplitude * (Rnd(50, 100) / 100) ' Leichte Variationen für Realismus
    Next

    ' Zeichne die Balken mit dem umgerechneten Wert
    DrawSpectrum(fftData)
End Sub

Private Sub DBToAmplitude(dB As Double) As Double
    Dim amplitude As Double = 1.1 * Power(10, dB / 20)
    amplitude = Max(0, Min(1, amplitude))

    Return amplitude
End Sub


Private Sub DrawSpectrum(fftData() As Double)
    cvs.ClearRect(cvs.TargetRect)

    Dim barWidth As Float = mBase.Width / NumBars
    Dim maxAmplitude As Float = mBase.Height * 0.8

    For i = 0 To NumBars - 1
        Dim index As Int = i * fftData.Length / NumBars
        Dim sample As Double = fftData(index)

        If sample < NoiseThreshold Then
            sample = 0
        Else
            sample = (sample - NoiseThreshold) / (1 - NoiseThreshold)
        End If

        ' Gaussian-Multiplier für eine natürliche Frequenzverteilung
        Dim exponent As Double = -Power((2 * i / NumBars - 1), 2) / 0.2
        Dim gaussianMultiplier As Double = Power(cE, exponent) ' cE = Euler-Zahl (≈2.718)

        sample = sample * gaussianMultiplier

        ' Höhe der Balken berechnen
        Dim barHeight As Float = 10 + (maxAmplitude * sample)
        Dim left As Float = i * barWidth
        Dim top As Float = mBase.Height - barHeight  ' Balken von unten aufbauen
        Dim right As Float = left + barWidth * 0.8 ' Breite des Balkens

        ' Balken zeichnen
        Dim rect As B4XRect
        rect.Initialize(left, top, right, mBase.Height) ' Unten auf mBase.Height setzen
        cvs.DrawRect(rect, xui.Color_White, True, 0)
    Next

    cvs.Invalidate
End Sub

Thanks