Relative Entropy

Collaboration diagram for Relative Entropy:

Functions
f32_t	tpt_relative_entropy_f32 (const f32_t *aInDataA, const f32_t *aInDataB, uint32_t aCount)
	Relative Entropy of the floating-potint vector.
f64_t	tpt_relative_entropy_f64 (const f64_t *aInDataA, const f64_t *aInDataB, uint32_t aCount)
	Relative Entropy of the floating-potint vector.

Detailed Description

The relative entropy function computes the entropy of two vectors and is also called the Kullback–Leibler divergence (DKL). The behavior can be defined as follows:

TPT DSP library only supports the relative entropy function for floating-point data.

Function Documentation

tpt_relative_entropy_f32()

f32_t tpt_relative_entropy_f32	(	const f32_t *	aInDataA,
		const f32_t *	aInDataB,
		uint32_t	aCount )

Relative Entropy of the floating-potint vector.

Parameters

[in]	aInDataA	points to the first input vector.
[in]	aInDataB	points to the second input vector.
[in]	aCount	size of the vectors.

Returns

f32_t

Relative Entropy of the floating-potint vector.

Parameters

[in]	aInDataA	points to the first input vector
[in]	aInDataB	points to the second input vector
[in]	aCount	number of samples in input vector

Returns

Relative entropy

tpt_relative_entropy_f64()

f64_t tpt_relative_entropy_f64	(	const f64_t *	aInDataA,
		const f64_t *	aInDataB,
		uint32_t	aCount )

Relative Entropy of the floating-potint vector.

Parameters

[in]	aInDataA	points to the first input vector.
[in]	aInDataB	points to the second input vector.
[in]	aCount	size of the vectors.

Returns

f64_t