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cc [ flag... ] file... -lmlib [ library... ] #include <mlib.h> mlib_status mlib_MatrixMulShift_S16_S16_Mod(mlib_s16 *z, const mlib_s16 *x, const mlib_s16 *y, mlib_s32 m, mlib_s32 l, mlib_s32 n, mlib_s32 shift);
mlib_status mlib_MatrixMulShift_S16_S16_Sat(mlib_s16 *z, const mlib_s16 *x, const mlib_s16 *y, mlib_s32 m, mlib_s32 l, mlib_s32 n, mlib_s32 shift);
mlib_status mlib_MatrixMulShift_S16C_S16C_Mod(mlib_s16 *z, const mlib_s16 *x, const mlib_s16 *y, mlib_s32 m, mlib_s32 l, mlib_s32 n, mlib_s32 shift);
mlib_status mlib_MatrixMulShift_S16C_S16C_Sat(mlib_s16 *z, const mlib_s16 *x, const mlib_s16 *y, mlib_s32 m, mlib_s32 l, mlib_s32 n, mlib_s32 shift);
Each of these functions performs a multiplication of two matrices and shifts the result.
For real data, the following equation is used:
l-1 z[i*n + j] = {SUM (x[i*l + k] * y[k*n + j])} * 2**(-shift) k=0
where i = 0, 1, ..., (m - 1); j = 0, 1, ..., (n - 1).
For complex data, the following equation is used:
l-1 z[2*(i*n + j)] = {SUM (xR*yR - xI*yI)} * 2**(-shift) k=0 l-1 z[2*(i*n + j) + 1] = {SUM (xR*yI + xI*yR)} * 2**(-shift) k=0
where
xR = x[2*(i*l + k)] xI = x[2*(i*l + k) + 1] yR = y[2*(k*n + j)] yI = y[2*(k*n + j) + 1] i = 0, 1, ..., (m - 1) j = 0, 1, ..., (n - 1)
Each of the functions takes the following arguments:
z
x
y
m
l
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_MatrixMul_U8_U8_Mod(3MLIB), attributes(5)