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{**********************************************************************
FFT.cpp
Dominic Mazzoni
September 2000
***********************************************************************
Fast Fourier Transform routines.
This file contains a few FFT routines, including a real-FFT
routine that is almost twice as fast as a normal complex FFT,
and a power spectrum routine when you know you don't care
about phase information.
Some of this code was based on a free implementation of an FFT
by Don Cross, available on the web at:
http://www.intersrv.com/~dcross/fft.html
The basic algorithm for his code was based on Numerican Recipes
in Fortran. I optimized his code further by reducing array
accesses, caching the bit reversal table, and eliminating
float-to-double conversions, and I added the routines to
calculate a real FFT and a real power spectrum.
***********************************************************************
Salvo Ventura - November 2006
Added more window functions:
* 4: Blackman
* 5: Blackman-Harris
* 6: Welch
* 7: Gaussian(a=2.5)
* 8: Gaussian(a=3.5)
* 9: Gaussian(a=4.5)
***********************************************************************
This file is part of Audacity 1.3.4 beta (http://audacity.sourceforge.net/)
Ported to Pascal by the UltraStar Deluxe Team
}
unit UFFT;
{$IFDEF FPC}
{$MODE Delphi}
{$ENDIF}
{$I switches.inc}
interface
type
TSingleArray = array[0..0] of Single;
PSingleArray = ^TSingleArray;
procedure PowerSpectrum(NumSamples: Integer; In_, Out_: PSingleArray);
procedure WindowFunc(NumSamples: Integer; in_: PSingleArray); {$IFDEF HasInline}inline;{$ENDIF}
implementation
uses
SysUtils;
type TIntArray = array[0..0] of Integer;
type TIntIntArray = array[0..0] of ^TIntArray;
var gFFTBitTable: ^TIntIntArray;
const MaxFastBits: Integer = 16;
function IsPowerOfTwo(x: Integer): Boolean;
begin
if (x < 2) then
result := false
else if ((x and (x - 1)) <> 0) then { Thanks to 'byang' for this cute trick! }
result := false
else
result := true;
end;
function NumberOfBitsNeeded(PowerOfTwo: Integer): Integer;
var i: Integer;
begin
if (PowerOfTwo < 2) then begin
Writeln(ErrOutput, Format('Error: FFT called with size %d\n', [PowerOfTwo]));
Abort;
end;
i := 0;
while(true) do begin
if (PowerOfTwo and (1 shl i) <> 0) then begin
result := i;
Exit;
end;
Inc(i);
end;
end;
function ReverseBits(index, NumBits: Integer): Integer;
var
i, rev: Integer;
begin
rev := 0;
for i := 0 to NumBits-1 do begin
rev := (rev shl 1) or (index and 1);
index := index shr 1;
end;
result := rev;
end;
procedure InitFFT();
var
len: Integer;
b, i: Integer;
begin
GetMem(gFFTBitTable, MaxFastBits * sizeof(PSingle));
len := 2;
for b := 1 to MaxFastBits do begin
GetMem(gFFTBitTable^[b - 1], len * sizeof(Single));
for i := 0 to len-1 do
gFFTBitTable^[b - 1][i] := ReverseBits(i, b);
len := len shl 1;
end;
end;
function FastReverseBits(i, NumBits: Integer): Integer; {$IFDEF HasInline}inline;{$ENDIF}
begin
if (NumBits <= MaxFastBits) then
result := gFFTBitTable[NumBits - 1][i]
else
result := ReverseBits(i, NumBits);
end;
{*
* Complex Fast Fourier Transform
*}
procedure FFT(NumSamples: Integer;
InverseTransform: boolean;
RealIn, ImagIn, RealOut, ImagOut: PSingleArray);
var
NumBits: Integer; { Number of bits needed to store indices }
i, j, k, n: Integer;
BlockSize, BlockEnd: Integer;
delta_angle: Double;
angle_numerator: Double;
tr, ti: Double; { temp real, temp imaginary }
sm2, sm1, cm2, cm1: Double;
w: Double;
ar0, ar1, ar2, ai0, ai1, ai2: Double;
denom: Single;
begin
angle_numerator := 2.0 * Pi;
if (not IsPowerOfTwo(NumSamples)) then begin
Writeln(ErrOutput, Format('%d is not a power of two', [NumSamples]));
Abort;
end;
if (gFFTBitTable = nil) then
InitFFT();
if (InverseTransform) then
angle_numerator := -angle_numerator;
NumBits := NumberOfBitsNeeded(NumSamples);
{
** Do simultaneous data copy and bit-reversal ordering into outputs...
}
for i := 0 to NumSamples-1 do begin
j := FastReverseBits(i, NumBits);
RealOut[j] := RealIn[i];
if(ImagIn = nil) then
ImagOut[j] := 0.0
else
ImagOut[j] := ImagIn[i];
end;
{
** Do the FFT itself...
}
BlockEnd := 1;
BlockSize := 2;
while(BlockSize <= NumSamples) do
begin
delta_angle := angle_numerator / BlockSize;
sm2 := sin(-2 * delta_angle);
sm1 := sin(-delta_angle);
cm2 := cos(-2 * delta_angle);
cm1 := cos(-delta_angle);
w := 2 * cm1;
i := 0;
while(i < NumSamples) do
begin
ar2 := cm2;
ar1 := cm1;
ai2 := sm2;
ai1 := sm1;
j := i;
for n := 0 to BlockEnd-1 do
begin
ar0 := w * ar1 - ar2;
ar2 := ar1;
ar1 := ar0;
ai0 := w * ai1 - ai2;
ai2 := ai1;
ai1 := ai0;
k := j + BlockEnd;
tr := ar0 * RealOut[k] - ai0 * ImagOut[k];
ti := ar0 * ImagOut[k] + ai0 * RealOut[k];
RealOut[k] := RealOut[j] - tr;
ImagOut[k] := ImagOut[j] - ti;
RealOut[j] := RealOut[j] + tr;
ImagOut[j] := ImagOut[j] + ti;
Inc(j);
end;
Inc(i, BlockSize);
end;
BlockEnd := BlockSize;
BlockSize := BlockSize shl 1;
end;
{
** Need to normalize if inverse transform...
}
if (InverseTransform) then begin
denom := NumSamples;
for i := 0 to NumSamples-1 do begin
RealOut[i] := RealOut[i] / denom;
ImagOut[i] := ImagOut[i] / denom;
end;
end;
end;
{*
* PowerSpectrum
*
* This function computes the same as RealFFT, above, but
* adds the squares of the real and imaginary part of each
* coefficient, extracting the power and throwing away the
* phase.
*
* For speed, it does not call RealFFT, but duplicates some
* of its code.
*}
procedure PowerSpectrum(NumSamples: Integer; In_, Out_: PSingleArray);
var
Half: Integer;
i: Integer;
theta: Single;
tmpReal, tmpImag, RealOut, ImagOut: PSingleArray;
wtemp: Single;
wpr, wpi, wr, wi: Single;
i3: Integer;
h1r, h1i, h2r, h2i, rt, it: Single;
begin
Half := NumSamples div 2;
theta := Pi / Half;
GetMem(tmpReal, Half * sizeof(Single));
GetMem(tmpImag, Half * sizeof(Single));
GetMem(RealOut, Half * sizeof(Single));
GetMem(ImagOut, Half * sizeof(Single));
for i := 0 to Half-1 do begin
tmpReal[i] := In_[2 * i];
tmpImag[i] := In_[2 * i + 1];
end;
FFT(Half, false, tmpReal, tmpImag, RealOut, ImagOut);
wtemp := sin(0.5 * theta);
wpr := -2.0 * wtemp * wtemp;
wpi := sin(theta);
wr := 1.0 + wpr;
wi := wpi;
for i := 1 to (Half div 2)-1 do
begin
i3 := Half - i;
h1r := 0.5 * (RealOut[i] + RealOut[i3]);
h1i := 0.5 * (ImagOut[i] - ImagOut[i3]);
h2r := 0.5 * (ImagOut[i] + ImagOut[i3]);
h2i := -0.5 * (RealOut[i] - RealOut[i3]);
rt := h1r + wr * h2r - wi * h2i;
it := h1i + wr * h2i + wi * h2r;
Out_[i] := rt * rt + it * it;
rt := h1r - wr * h2r + wi * h2i;
it := -h1i + wr * h2i + wi * h2r;
Out_[i3] := rt * rt + it * it;
wtemp := wr;
wr := wtemp * wpr - wi * wpi + wr;
wi := wi * wpr + wtemp * wpi + wi;
end;
h1r := RealOut[0];
rt := h1r + ImagOut[0];
it := h1r - ImagOut[0];
Out_[0] := rt * rt + it * it;
rt := RealOut[Half div 2];
it := ImagOut[Half div 2];
Out_[Half div 2] := rt * rt + it * it;
FreeMem(tmpReal);
FreeMem(tmpImag);
FreeMem(RealOut);
FreeMem(ImagOut);
end;
procedure WindowFunc(NumSamples: Integer; in_: PSingleArray); {$IFDEF HasInline}inline;{$ENDIF}
var
i: Integer;
begin
for i := 0 to NumSamples-1 do
in_[i] := in_[i] * (0.50 - 0.50 * cos(2 * Pi * i / (NumSamples - 1)));
end;
end.
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