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cc [ flag... ] file... -lmlib [ library... ] #include <mlib.h> mlib_status mlib_VectorMulMShift_S16_S16_Mod(mlib_s16 *z, const mlib_s16 *x, const mlib_s16 *y, mlib_s32 m, mlib_s32 n, mlib_s32 shift);
mlib_status mlib_VectorMulMShift_S16_S16_Sat(mlib_s16 *z, const mlib_s16 *x, const mlib_s16 *y, mlib_s32 m, mlib_s32 n, mlib_s32 shift);
mlib_status mlib_VectorMulMShift_S16C_S16C_Mod(mlib_s16 *z, const mlib_s16 *x, const mlib_s16 *y, mlib_s32 m, mlib_s32 n, mlib_s32 shift);
mlib_status mlib_VectorMulMShift_S16C_S16C_Sat(mlib_s16 *z, const mlib_s16 *x, const mlib_s16 *y, mlib_s32 m, mlib_s32 n, mlib_s32 shift);
Each of these functions multiplies a vector by a matrix and shifts the results.
For real data, the following equation is used:
m-1 z[i] = { SUM (x[j] * y[j*m + i]) } * 2**(-shift) j=0
where i = 0, 1, ..., (n - 1).
For complex data, the following equation is used:
m-1 z[2*i ] = { SUM (xR*yR - xI*yI) } * 2**(-shift) j=0 m-1 z[2*i + 1] = { SUM (xR*yI + xI*yR) } * 2**(-shift) j=0
where i = 0, 1, ..., (n - 1), and
xR = x[2*j] xI = x[2*j + 1] yR = y[2*(j*m + i)] yI = y[2*(j*m + i) + 1]
Each of the functions takes the following arguments:
z
x
y
m
n
shift
Each of the functions returns MLIB_SUCCESS if successful. Otherwise it returns MLIB_FAILURE.
See attributes(5) for descriptions of the following attributes:
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mlib_VectorMulM_U8_U8_Mod(3MLIB), attributes(5)