Computes the magnitude squared of the elements of a complex data vector.
The pSrc
points to the source data and pDst
points to the where the result should be written. numSamples
specifies the number of complex samples in the input array and the data is stored in an interleaved fashion (real, imag, real, imag, ...). The input array has a total of 2*numSamples
values; the output array has a total of numSamples
values.
The underlying algorithm is used:
for (n = 0; n < numSamples; n++) {
pDst[n] = pSrc[(2*n)+0]^2 + pSrc[(2*n)+1]^2;
}
There are separate functions for floating-point, Q15, and Q31 data types.
void arm_cmplx_mag_squared_f16 |
( |
const float16_t * |
pSrc, |
|
|
float16_t * |
pDst, |
|
|
uint32_t |
numSamples |
|
) |
| |
- Parameters
-
[in] | pSrc | points to input vector |
[out] | pDst | points to output vector |
[in] | numSamples | number of samples in each vector |
- Returns
- none
void arm_cmplx_mag_squared_f32 |
( |
const float32_t * |
pSrc, |
|
|
float32_t * |
pDst, |
|
|
uint32_t |
numSamples |
|
) |
| |
- Parameters
-
[in] | pSrc | points to input vector |
[out] | pDst | points to output vector |
[in] | numSamples | number of samples in each vector |
- Returns
- none
void arm_cmplx_mag_squared_q15 |
( |
const q15_t * |
pSrc, |
|
|
q15_t * |
pDst, |
|
|
uint32_t |
numSamples |
|
) |
| |
- Parameters
-
[in] | pSrc | points to input vector |
[out] | pDst | points to output vector |
[in] | numSamples | number of samples in each vector |
- Returns
- none
- Scaling and Overflow Behavior
- The function implements 1.15 by 1.15 multiplications and finally output is converted into 3.13 format.
void arm_cmplx_mag_squared_q31 |
( |
const q31_t * |
pSrc, |
|
|
q31_t * |
pDst, |
|
|
uint32_t |
numSamples |
|
) |
| |
- Parameters
-
[in] | pSrc | points to input vector |
[out] | pDst | points to output vector |
[in] | numSamples | number of samples in each vector |
- Returns
- none
- Scaling and Overflow Behavior
- The function implements 1.31 by 1.31 multiplications and finally output is converted into 3.29 format. Input down scaling is not required.