Method and device for regulating vector as well as method and device for decoding regulated vector

A decoding method and vector quantization technology, which is applied in the field of data compression, can solve the problems of large quantization error of the quantizer and increase the quantization error of the quantizer, and achieve the effect of reducing the radius of the sphere and reducing the quantization error
CN101588182AInactive Publication Date: 2009-11-25HUAWEI TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
HUAWEI TECH CO LTD
Publication Date
2009-11-25
Estimated Expiration
Not applicable · inactive patent

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Abstract

The embodiment of the invention discloses a method and a device for regulating a vector as well as a method and a device for decoding a regulated vector, which belong to the technical field of data compression and are designed in order to solve the problem that the quantization error of a whole quantizer is large due to large radius of spherical quantization in the spherical quantization process in the prior art. The method for regulating a vector provided in the embodiment of the invention comprises the following steps: receiving an input vector; regulating the average value of the input vector to obtain a quantization average value code and an average value regulation vector; and regulating the radius according to the average value regulation vector to obtain a quantization radius code and a radius regulation vector. The invention shortens the spherical quantization radius through regulation, thereby reducing the quantization error.
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Description

technical field

[0001] The invention relates to the technical field of data compression, in particular to a vector normalization method and device and a vector normalization decoding method and device. Background technique

[0002] At present, a variety of vector quantizers have evolved on the basis of the most basic vector quantizers. There is a type of vector quantizer that designs the corresponding optimal quantizer according to the probability distribution characteristics of the input signal, and another vector quantizer The design of the filter is independent of the probability distribution characteristics of the input signal.

[0003] Among them, a vector quantizer that is not related to the probability distribution characteristics of the input signal is designed, such as a spherical vector quantizer. According to the rate-distortion theory, Gaussian noise has the largest differential entropy and is the most difficult to quantify probability distribution characteristi...

Claims

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