Dimensional vector and variable resolution quantisation

A vector quantization and resolution technology, applied in voice analysis, electrical components, code conversion, etc., can solve difficult problems and achieve the effect of reducing storage space

Inactive Publication Date: 2007-01-31
FRANCE TELECOM SA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, forcing the source distribution to fit this constraint is a very difficult task
The design of algebraic quantizers based on regular grids also has the problem that it must truncate and cut grids of different specifications to obtain different precisions expected for different dimensions, and it must also do this for different dimensions operation

Method used

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  • Dimensional vector and variable resolution quantisation
  • Dimensional vector and variable resolution quantisation
  • Dimensional vector and variable resolution quantisation

Examples

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Embodiment Construction

[0122] In one embodiment, the insertion / deletion mechanism itself is stored in the program scheduler, and for a given insertion / deletion rule, the parameters of the insertion / deletion, combined with the index of the given insertion / deletion rule, can be stored in In an ordinary correspondence table (in principle, it is different from the aforementioned correspondence table).

[0123] It is more convenient that the corresponding table is previously formed, right:

[0124] -The current dimension of the second set,

[0125] -The current index of the second set of elements,

[0126] -Index of insert / delete rule,

[0127] The three integer scalar values ​​are tabulated, and the index of the code vector of the dictionary of the given dimension can be reconstructed on the basis of the element of the current index in the second set of the current dimension. By inserting / deleting elements corresponding to the current index and the current dimension, the aforementioned inserting / deleting ru...

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Abstract

The invention relates to compression coding and / or decoding of digital signals, in particular by vector variable-rate quantisation defining a variable resolution. For this purpose an impulsion dictionary comprises: for a given dimension, increasing resolution dictionaries imbricated into each other and, for a given dimension, a union of: a totality (d'i<N>) of code-vectors produced, by inserting elements taken in a final set (a) into smaller dimension code-vectors according to a final set of predetermined insertion rules (f1) and a second totality of code-vectors (y') which are not obtainable by insertion into the smaller dimension code vectors according to said set of the insertion rules.

Description

Technical field [0001] The present invention relates to the compression coding and / or decoding of digital signals, including audio, video signals, and more generally multimedia signals used for their storage and / or transmission. Background technique [0002] Vector quantization is a widely used compression method for digital signals. The primary driving force for using vector quantization is to follow the block coding theory exhibited by Shannon Dingqiang. According to this theorem, increasing the dimensionality of the vector to be coded can achieve better results. Vector quantization uses a vector from a finite set of dimensions to represent an input vector. In this way, the M order (or code vector) is provided to the digitizer to generate a set of input vectors (usually these vectors are an n-dimensional Euclidean real field R n , Or it can be R n A subset of) to R n A non-bijective mapping of a finite subset of Y. This subset Y contains M independent elements: [0003] Y={y 1 ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03M7/30G10L19/08G10L19/097
CPCG10L19/097H03M7/3088H03M7/3082H03M7/30
Inventor 克洛德·朗布兰达维德·维雷特巴拉兹斯·科韦西多米尼克·马萨卢
Owner FRANCE TELECOM SA
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