To use c16maddShift(), c32x16maddShift(), c16multaddVectRealComplex(), and c16x32div() functions in nr_pdsch_channel_estimation()
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laurent
parent
e06704a8aa
commit
0ab5b35867
File diff suppressed because it is too large
Load Diff
@@ -97,6 +97,20 @@ extern "C" {
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#define squaredMod(a) ((a).r*(a).r + (a).i*(a).i)
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#define squaredMod(a) ((a).r*(a).r + (a).i*(a).i)
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#define csum(res, i1, i2) (res).r = (i1).r + (i2).r ; (res).i = (i1).i + (i2).i
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#define csum(res, i1, i2) (res).r = (i1).r + (i2).r ; (res).i = (i1).i + (i2).i
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__attribute__((always_inline)) inline c16_t c16Shift(const c16_t a, const int Shift) {
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return (c16_t) {
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.r = (int16_t)(a.r >> Shift),
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.i = (int16_t)(a.i >> Shift)
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};
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}
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__attribute__((always_inline)) inline c16_t c16addShift(const c16_t a, const c16_t b, const int Shift) {
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return (c16_t) {
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.r = (int16_t)((a.r + b.r) >> Shift),
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.i = (int16_t)((a.i + b.i) >> Shift)
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};
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}
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__attribute__((always_inline)) inline c16_t c16mulShift(const c16_t a, const c16_t b, const int Shift) {
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__attribute__((always_inline)) inline c16_t c16mulShift(const c16_t a, const c16_t b, const int Shift) {
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return (c16_t) {
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return (c16_t) {
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.r = (int16_t)((a.r * b.r - a.i * b.i) >> Shift),
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.r = (int16_t)((a.r * b.r - a.i * b.i) >> Shift),
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