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]	pA	First vector
[in]	pB	Second vector
[in]	blockSize	vector 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]	pA	First vector
[in]	pB	Second vector
[in]	blockSize	vector length

Returns

distance