Kullback-Leibler divergence

Functions
float16_t	arm_kullback_leibler_f16 (const float16_t *pSrcA, const float16_t *pSrcB, uint32_t blockSize)
	Kullback-Leibler. More...
float32_t	arm_kullback_leibler_f32 (const float32_t *pSrcA, const float32_t *pSrcB, uint32_t blockSize)
	Kullback-Leibler. More...
float64_t	arm_kullback_leibler_f64 (const float64_t *pSrcA, const float64_t *pSrcB, uint32_t blockSize)
	Kullback-Leibler. More...

Description

Computes the Kullback-Leibler divergence between two distributions

Function Documentation

float16_t arm_kullback_leibler_f16	(	const float16_t *	pSrcA,
		const float16_t *	pSrcB,
		uint32_t	blockSize
	)

Distribution A may contain 0 with Neon version. Result will be right but some exception flags will be set.

Distribution B must not contain 0 probability.

Parameters

[in]	*pSrcA	points to an array of input values for probaility distribution A.
[in]	*pSrcB	points to an array of input values for probaility distribution B.
[in]	blockSize	number of samples in the input array.

Returns

Kullback-Leibler divergence D(A || B)

float32_t arm_kullback_leibler_f32	(	const float32_t *	pSrcA,
		const float32_t *	pSrcB,
		uint32_t	blockSize
	)

Distribution A may contain 0 with Neon version. Result will be right but some exception flags will be set.

Distribution B must not contain 0 probability.

Parameters

[in]	*pSrcA	points to an array of input values for probaility distribution A.
[in]	*pSrcB	points to an array of input values for probaility distribution B.
[in]	blockSize	number of samples in the input array.

Returns

Kullback-Leibler divergence D(A || B)

float64_t arm_kullback_leibler_f64	(	const float64_t *	pSrcA,
		const float64_t *	pSrcB,
		uint32_t	blockSize
	)

Parameters

[in]	*pSrcA	points to an array of input values for probaility distribution A.
[in]	*pSrcB	points to an array of input values for probaility distribution B.
[in]	blockSize	number of samples in the input array.

Returns

Kullback-Leibler divergence D(A || B)