很简单，在end select前再多加一种情况case else return "XXXx",因为你只提供了0-9这10种情况
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Public Function Zuhe(ByVal qa As String) As String
Select Case qa
Case "0"
Return "1"
Case "1"
Return "3"
Case "2"
Return "4"
Case "3"
Return "6"
Case "4"
Return "2"
Case "5"
Return "8"
Case "6"
Return "9"
Case "7"
Return "7"
Case "8"
Return "5"
Case "9"
Return "0"
Case else
Return "XXXX"
End Select
End Function
一组数据,用vb求fft,数据需要归一化。
归一化后求FFT和没有归一化的值幅值相差一个倍数，各次谐波的角度不变。这个倍数就是归一化的过程缩小的倍数。
FFT是快速傅立叶分解，FFT后出来的数据不是点，第一个结果是直流分量，其模需要除以采样点数，才能是幅值。如果是150点，出来的150个数据是0,1,2,.....75,74,73.....2,1。所以直流量没有对称数据。
数据标准化（归一化）处理是数据挖掘的一项基础工作，不同评价指标往往具有不同的量纲和量纲单位，这样的情况会影响到数据分析的结果，为了消除指标之间的量纲影响，需要进行数据标准化处理，以解决数据指标之间的可比性。原始数据经过数据标准化处理后，各指标处于同一数量级，适合进行综合对比评价。以下是常用的归一化方法：
min-max标准化（Min-Max Normalization）
也称为离差标准化，是对原始数据的线性变换，使结果值映射到[0 , 1]之间。转换函数如下：
其中max为样本数据的最大值，min为样本数据的最小值。这种方法有个缺陷就是当有新数据加入时，可能导致max和min的变化，需要重新定义。
晕 还有找快速傅立叶变换的
这个哥们博客有很多相关的
这个好像可以进行FFT和IFFT
前几天刚考完数字信号处理 学的这个晕啊
呵呵
这个是FFT的
*模块********************************************************
'FFT0 数组下标以0开始 FFT1 数组下标以1开始
'AR() 数据实部 AI() 数据虚部
'N 数据点数，为2的整数次幂
'NI 变换方向 1为正变换，-1为反变换
'***************************************************************
Public Const Pi = 3.1415926
Public Function FFT0(AR() As Double, AI() As Double, N As Integer, ni As Integer)
Dim i As Integer, j As Integer, k As Integer, L As Integer, M As Integer
Dim IP As Integer, LE As Integer
Dim L1 As Integer, N1 As Integer, N2 As Integer
Dim SN As Double, TR As Double, TI As Double, WR As Double, WI As Double
Dim UR As Double, UI As Double, US As Double
M = NTOM(N)
N2 = N / 2
N1 = N - 1
SN = ni
j = 1
For i = 1 To N1
If i j Then
TR = AR(j - 1)
AR(j - 1) = AR(i - 1)
AR(i - 1) = TR
TI = AI(j - 1)
AI(j - 1) = AI(i - 1)
AI(i - 1) = TI
End If
k = N2
While (k j)
j = j - k
k = k / 2
Wend
j = j + k
Next i
For L = 1 To M
LE = 2 ^ L
L1 = LE / 2
UR = 1#
UI = 0#
WR = Cos(Pi / L1)
WI = SN * Sin(Pi / L1)
For j = 1 To L1
For i = j To N Step LE
IP = i + L1
TR = AR(IP - 1) * UR - AI(IP - 1) * UI
TI = AI(IP - 1) * UR + AR(IP - 1) * UI
AR(IP - 1) = AR(i - 1) - TR
AI(IP - 1) = AI(i - 1) - TI
AR(i - 1) = AR(i - 1) + TR
AI(i - 1) = AI(i - 1) + TI
Next i
US = UR
UR = US * WR - UI * WI
UI = UI * WR + US * WI
Next j
Next L
If SN -1 Then
For i = 1 To N
AR(i - 1) = AR(i - 1) / N
AI(i - 1) = AI(i - 1) / N
Next i
End If
End Function
Public Function FFT1(AR() As Double, AI() As Double, N As Integer, ni As Integer)
Dim i As Integer, j As Integer, k As Integer, L As Integer, M As Integer
Dim IP As Integer, LE As Integer
Dim L1 As Integer, N1 As Integer, N2 As Integer
Dim SN As Double, TR As Double, TI As Double, WR As Double, WI As Double
Dim UR As Double, UI As Double, US As Double
M = NTOM(N)
N2 = N / 2
N1 = N - 1
SN = ni
j = 1
For i = 1 To N1
If i j Then
TR = AR(j)
AR(j) = AR(i)
AR(i) = TR
TI = AI(j)
AI(j) = AI(i)
AI(i) = TI
End If
k = N2
While (k j)
j = j - k
k = k / 2
Wend
j = j + k
Next i
For L = 1 To M
LE = 2 ^ L
L1 = LE / 2
UR = 1#
UI = 0#
WR = Cos(Pi / L1)
WI = SN * Sin(Pi / L1)
For j = 1 To L1
For i = j To N Step LE
IP = i + L1
TR = AR(IP) * UR - AI(IP) * UI
TI = AI(IP) * UR + AR(IP) * UI
AR(IP) = AR(i) - TR
AI(IP) = AI(i) - TI
AR(i) = AR(i) + TR
AI(i) = AI(i) + TI
Next i
US = UR
UR = US * WR - UI * WI
UI = UI * WR + US * WI
Next j
Next L
If SN -1 Then
For i = 1 To N
AR(i) = AR(i) / N
AI(i) = AI(i) / N
Next i
End If
End Function
Private Function NTOM(N As Integer) As Integer
Dim ND As Double
ND = N
NTOM = 0
While (ND 1)
ND = ND / 2
NTOM = NTOM + 1
Wend
End Function
'*使用**********
Const fftIn = 128
Dim i As Integer
Dim xr(128) As Double
Dim xi(128) As Double
'赋值，IaIn(i)是采得的数据。
For i = 0 To 128
xr(i) = 100 * IaIn(i)
xi(i) = 0
Next
'FFT变换
Call FFT0(xr(), xi(), 128, 1)
'绘图
picI_FFT.Scale (0, 100)-(fftIn - 1, -10)
picI_FFT.DrawWidth = 2
For i = 0 To fftIn - 1
picI_FFT.Line (i, Abs(xr(i)))-(i + 1, Abs(xr(i + 1))), vbBlue
Next i
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