mlib_SignalCrossCorrel_S16

, mlib_SignalCrossCorrel_S16S

, mlib_SignalCrossCorrel_F32

, mlib_SignalCrossCorrel_F32S

- signal cross correlation

Synopsis

cc [ flag... ] file... -lmlib [ library... ]
#include <mlib.h>

mlib_status mlib_SignalCrossCorrel_S16(mlib_d64 *correl, 
     const mlib_s16 *src1, const mlib_s16 *src2, mlib_s32 n);

mlib_status mlib_SignalCrossCorrel_S16S(mlib_d64 *correl, 
     const mlib_s16 *src1, const mlib_s16 *src2, mlib_s32 n);

mlib_status mlib_SignalCrossCorrel_F32(mlib_d64 *correl, 
     const mlib_f32 *src1, const mlib_f32 *src2, mlib_s32 n);

mlib_status mlib_SignalCrossCorrel_F32S(mlib_d64 *correl, 
     const mlib_f32 *src1, const mlib_f32 *src2, mlib_s32 n);

Description

Each of these functions performs cross correlation.

For monaural signals, the following equation is used:

             1    n-1
correl[0] = --- * SUM (src1[i] * src2[i])
             n    i=0

For stereo signals, the following equation is used:

             1    n-1
correl[0] = --- * SUM (src1[2*i] * src2[2*i])
             n    i=0

             1    n-1
correl[1] = --- * SUM (src1[2*i + 1] * src2[2*i + 1])
             n    i=0

Parameters

Each of the functions takes the following arguments:

correl

Pointer to the cross correlation array. In the stereo version, correl[0] contains the cross correlation of channel 0, and correl[1] contains the cross correlation of channel 1.

src1

First source signal array.

src2

Second source signal array.

n

Number of samples in the source signal arrays.

Return Values

Each of the functions returns MLIB_SUCCESS if successful. Otherwise it returns MLIB_FAILURE.

Attributes

See attributes(5) for descriptions of the following attributes:

See Also

mlib_SignalAutoCorrel_S16(3MLIB), attributes(5)