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void | arm_mean_f16 (const float16_t *pSrc, uint32_t blockSize, float16_t *pResult) |
| Mean value of a floating-point vector. More...
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void | arm_mean_f32 (const float32_t *pSrc, uint32_t blockSize, float32_t *pResult) |
| Mean value of a floating-point vector. More...
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void | arm_mean_f64 (const float64_t *pSrc, uint32_t blockSize, float64_t *pResult) |
| Mean value of a floating-point vector. More...
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void | arm_mean_q15 (const q15_t *pSrc, uint32_t blockSize, q15_t *pResult) |
| Mean value of a Q15 vector. More...
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void | arm_mean_q31 (const q31_t *pSrc, uint32_t blockSize, q31_t *pResult) |
| Mean value of a Q31 vector. More...
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void | arm_mean_q7 (const q7_t *pSrc, uint32_t blockSize, q7_t *pResult) |
| Mean value of a Q7 vector. More...
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Calculates the mean of the input vector. Mean is defined as the average of the elements in the vector. The underlying algorithm is used:
Result = (pSrc[0] + pSrc[1] + pSrc[2] + ... + pSrc[blockSize-1]) / blockSize;
There are separate functions for floating-point, Q31, Q15, and Q7 data types.
◆ arm_mean_f16()
void arm_mean_f16 |
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const float16_t * |
pSrc, |
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uint32_t |
blockSize, |
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float16_t * |
pResult |
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) |
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- Parameters
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[in] | pSrc | points to the input vector. |
[in] | blockSize | number of samples in input vector. |
[out] | pResult | mean value returned here. |
- Returns
- none
◆ arm_mean_f32()
- Parameters
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[in] | pSrc | points to the input vector. |
[in] | blockSize | number of samples in input vector. |
[out] | pResult | mean value returned here. |
- Returns
- none
◆ arm_mean_f64()
- Parameters
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[in] | pSrc | points to the input vector. |
[in] | blockSize | number of samples in input vector. |
[out] | pResult | mean value returned here. |
- Returns
- none
◆ arm_mean_q15()
void arm_mean_q15 |
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const q15_t * |
pSrc, |
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uint32_t |
blockSize, |
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q15_t * |
pResult |
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) |
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- Parameters
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[in] | pSrc | points to the input vector |
[in] | blockSize | number of samples in input vector |
[out] | pResult | mean value returned here |
- Returns
- none
- Scaling and Overflow Behavior
- The function is implemented using a 32-bit internal accumulator. The input is represented in 1.15 format and is accumulated in a 32-bit accumulator in 17.15 format. There is no risk of internal overflow with this approach, and the full precision of intermediate result is preserved. Finally, the accumulator is truncated to yield a result of 1.15 format.
◆ arm_mean_q31()
void arm_mean_q31 |
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const q31_t * |
pSrc, |
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uint32_t |
blockSize, |
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q31_t * |
pResult |
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) |
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- Parameters
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[in] | pSrc | points to the input vector |
[in] | blockSize | number of samples in input vector |
[out] | pResult | mean value returned here |
- Returns
- none
- Scaling and Overflow Behavior
- The function is implemented using a 64-bit internal accumulator. The input is represented in 1.31 format and is accumulated in a 64-bit accumulator in 33.31 format. There is no risk of internal overflow with this approach, and the full precision of intermediate result is preserved. Finally, the accumulator is truncated to yield a result of 1.31 format.
◆ arm_mean_q7()
void arm_mean_q7 |
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const q7_t * |
pSrc, |
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uint32_t |
blockSize, |
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q7_t * |
pResult |
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) |
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- Parameters
-
[in] | pSrc | points to the input vector |
[in] | blockSize | number of samples in input vector |
[out] | pResult | mean value returned here |
- Returns
- none
- Scaling and Overflow Behavior
- The function is implemented using a 32-bit internal accumulator. The input is represented in 1.7 format and is accumulated in a 32-bit accumulator in 25.7 format. There is no risk of internal overflow with this approach, and the full precision of intermediate result is preserved. Finally, the accumulator is truncated to yield a result of 1.7 format.