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Anisotropic data compression method based on tensor approximation

A data compression and anisotropic technology, which is applied in the field of anisotropic data compression based on tensor approximation, to achieve the effect of improving the compression effect

Active Publication Date: 2017-12-26
四川易诚智讯科技有限公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, when compressing data based on tensor approximation, if the truncated rank combination of the same size is used or the truncated combination is selected according to the proportion of the block size, the data may not achieve the best compression effect.

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  • Anisotropic data compression method based on tensor approximation
  • Anisotropic data compression method based on tensor approximation
  • Anisotropic data compression method based on tensor approximation

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[0035] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0036] Such as figure 1 Shown is a schematic flow chart of the tensor approximation-based anisotropic data compression method of the present invention. An anisotropic data compression method based on tensor approximation, comprising the following steps:

[0037] A. Preprocess the data into blocks, and perform singular value decomposition on each block of data;

[0038] B. Calculate the percentage of singular values ​​decomposed in different directions in step A, and select the truncated rank combination in the corresponding direction;

[0039] C, calculate the block factor matrix and core tensor...

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Abstract

The invention discloses an anisotropic data compression method based on tensor approximation. The method comprises the steps that singular values of partitioned data are decomposed, the percentages of the decomposed singular values in different directions are calculated, a truncation rank combination in the corresponding direction is selected, a partitioned factor matrix and a core tensor are calculated, and anisotropic data is compressed. According to the anisotropic data compression method based on tensor approximation, the percentage of the singular values is adopted to select truncation ranks in different directions in tensor approximation, the accumulated percentage of the same singular values is set as a threshold value, the number of the singular values in different directions is determined, then the values of the truncation ranks are determined, and accordingly the compression effect is remarkably improved.

Description

technical field [0001] The invention belongs to the technical field of data compression, in particular to an anisotropic data compression method based on tensor approximation. Background technique [0002] In today's scientific research and production, people hope to present and interpret data in an intuitive and fast way. Therefore, data visualization has become a very important means of data research and analysis. Scientific visualization technology can effectively link and develop human vision and perception, and intuitively express the distribution and characteristics of data itself. In particular, the visualization of three-dimensional data can express the morphological structure of the data through the use of human visual senses and spatial perception. Visualization technology is a very common technology that can be widely used in many fields, such as: medical field, fluid physics field, meteorological field, geological exploration field and so on. [0003] Volume r...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/16H03M7/30
CPCH03M7/30G06F17/16
Inventor 占梦来李铭张军彭立宇王另
Owner 四川易诚智讯科技有限公司