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Jensen-Shannon distance

Functions

float16_t arm_jensenshannon_distance_f16 (const float16_t *pA, const float16_t *pB, uint32_t blockSize)
 Jensen-Shannon distance between two vectors. More...
 
float32_t arm_jensenshannon_distance_f32 (const float32_t *pA, const float32_t *pB, uint32_t blockSize)
 Jensen-Shannon distance between two vectors. More...
 

Description

Jensen-Shannon distance

Function Documentation

float16_t arm_jensenshannon_distance_f16 ( const float16_t *  pA,
const float16_t *  pB,
uint32_t  blockSize 
)

This function is assuming that elements of second vector are > 0 and 0 only when the corresponding element of first vector is 0. Otherwise the result of the computation does not make sense and for speed reasons, the cases returning NaN or Infinity are not managed.

When the function is computing x log (x / y) with x == 0 and y == 0, it will compute the right result (0) but a division by zero will occur and should be ignored in client code.

Parameters
[in]pAFirst vector
[in]pBSecond vector
[in]blockSizevector length
Returns
distance
float32_t arm_jensenshannon_distance_f32 ( const float32_t pA,
const float32_t pB,
uint32_t  blockSize 
)

This function is assuming that elements of second vector are > 0 and 0 only when the corresponding element of first vector is 0. Otherwise the result of the computation does not make sense and for speed reasons, the cases returning NaN or Infinity are not managed.

When the function is computing x log (x / y) with x == 0 and y == 0, it will compute the right result (0) but a division by zero will occur and should be ignored in client code.

Parameters
[in]pAFirst vector
[in]pBSecond vector
[in]blockSizevector length
Returns
distance