Complex Dot Product

void riscv_cmplx_dot_prod_f16(const float16_t *pSrcA, const float16_t *pSrcB, uint32_t numSamples, float16_t *realResult, float16_t *imagResult)
void riscv_cmplx_dot_prod_f32(const float32_t *pSrcA, const float32_t *pSrcB, uint32_t numSamples, float32_t *realResult, float32_t *imagResult)
void riscv_cmplx_dot_prod_q15(const q15_t *pSrcA, const q15_t *pSrcB, uint32_t numSamples, q31_t *realResult, q31_t *imagResult)
void riscv_cmplx_dot_prod_q31(const q31_t *pSrcA, const q31_t *pSrcB, uint32_t numSamples, q63_t *realResult, q63_t *imagResult)
group cmplx_dot_prod

Computes the dot product of two complex vectors. The vectors are multiplied element-by-element and then summed.

The pSrcA points to the first complex input vector and pSrcB points to the second complex input vector. numSamples specifies the number of complex samples and the data in each array is stored in an interleaved fashion (real, imag, real, imag, …). Each array has a total of 2*numSamples values.

The underlying algorithm is used:

There are separate functions for floating-point, Q15, and Q31 data types.

Functions

void riscv_cmplx_dot_prod_f16(const float16_t *pSrcA, const float16_t *pSrcB, uint32_t numSamples, float16_t *realResult, float16_t *imagResult)

Floating-point complex dot product.

Parameters

  • pSrcA – [in] points to the first input vector

  • pSrcB – [in] points to the second input vector

  • numSamples – [in] number of samples in each vector

  • realResult – [out] real part of the result returned here

  • imagResult – [out] imaginary part of the result returned here

Returns

none

void riscv_cmplx_dot_prod_f32(const float32_t *pSrcA, const float32_t *pSrcB, uint32_t numSamples, float32_t *realResult, float32_t *imagResult)

Floating-point complex dot product.

Parameters

  • pSrcA – [in] points to the first input vector

  • pSrcB – [in] points to the second input vector

  • numSamples – [in] number of samples in each vector

  • realResult – [out] real part of the result returned here

  • imagResult – [out] imaginary part of the result returned here

Returns

none

void riscv_cmplx_dot_prod_q15(const q15_t *pSrcA, const q15_t *pSrcB, uint32_t numSamples, q31_t *realResult, q31_t *imagResult)

Q15 complex dot product.

Scaling and Overflow Behavior

The function is implemented using an internal 64-bit accumulator. The intermediate 1.15 by 1.15 multiplications are performed with full precision and yield a 2.30 result. These are accumulated in a 64-bit accumulator with 34.30 precision. As a final step, the accumulators are converted to 8.24 format. The return results realResult and imagResult are in 8.24 format.

Parameters

  • pSrcA – [in] points to the first input vector

  • pSrcB – [in] points to the second input vector

  • numSamples – [in] number of samples in each vector

  • realResult – [out] real part of the result returned here

  • imagResult – [out] imaginary part of the result returned her

Returns

none

void riscv_cmplx_dot_prod_q31(const q31_t *pSrcA, const q31_t *pSrcB, uint32_t numSamples, q63_t *realResult, q63_t *imagResult)

Q31 complex dot product.

Scaling and Overflow Behavior

The function is implemented using an internal 64-bit accumulator. The intermediate 1.31 by 1.31 multiplications are performed with 64-bit precision and then shifted to 16.48 format. The internal real and imaginary accumulators are in 16.48 format and provide 15 guard bits. Additions are nonsaturating and no overflow will occur as long as numSamples is less than 32768. The return results realResult and imagResult are in 16.48 format. Input down scaling is not required.

Parameters

  • pSrcA – [in] points to the first input vector

  • pSrcB – [in] points to the second input vector

  • numSamples – [in] number of samples in each vector

  • realResult – [out] real part of the result returned here

  • imagResult – [out] imaginary part of the result returned here

Returns

none