Strong transient signal data compression method

A transient signal and data compression technology, applied in code conversion, electrical components, etc., can solve problems such as aggravating data storage pressure, and achieve high compression ratio, fast compression speed, and good compression effect

Inactive Publication Date: 2021-01-15
BEIJING INFORMATION SCI & TECH UNIV +2
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Problems solved by technology

[0006] The invention discloses a data compression method for strong transient signals, the purpose of which is to solve the problem that the sampling frequency and measurement parameters aggravate the data storage pressure

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  • Strong transient signal data compression method
  • Strong transient signal data compression method
  • Strong transient signal data compression method

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Embodiment Construction

[0015] The invention discloses a data compression method for strong transient signals, and aims to solve the problem that the sampling frequency and measurement parameters aggravate the data storage pressure. At the same time, it also optimizes the storage of multi-parameter, high-density composite signals. The invention utilizes several mainstream data compression methods to explore a data compression scheme for strong transient signals. Through the identification of strong transient signals, the data is divided into stationary data and dynamic transient data, and on this basis, the lossy and lossless compression effects of data are studied. Compared with lossless compression, lossy compression can provide higher compression ratio, faster compression speed and lower resource occupation. Using STD algorithm for smooth data can achieve a compression ratio of up to 80.65. Next, the lossless compression method is discussed. Through the analysis, it is known that the LZW compress...

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Abstract

The invention discloses a strong transient signal data compression method, and the method comprises the following steps: (1) analyzing lossy compression and lossless compression algorithms; (2) analyzing lossy compression and lossless compression effects; (3) combining lossy compression and lossless compression methods to realize adaptive data compression. The objective of the invention is to solve the problem that sampling frequency and measurement parameters increase data storage pressure. And meanwhile, multi-parameter and high-density composite signals are subjected to optimized storage. The method has the advantages that several mainstream data compression methods are utilized, and a data compression scheme of strong transient signals is explored. Data is divided into stable data anddynamic transient data by identifying strong transient signals, and on the basis, lossy and lossless compression effect research is carried out on the data. And finally, dynamic adaptive data compression is performed on the process data. Therefore, the problem of data storage is solved.

Description

technical field [0001] The invention relates to a data compression method, in particular to a strong transient signal data compression method. Background technique [0002] In today's electronic information technology field, a digital revolution with long-term impact is taking place. Since the data volume of digitized multimedia information, especially digital video and audio signals, is extremely large, it is difficult to obtain practical applications without effective compression. Therefore, data compression technology has become a key common technology in today's digital communication, broadcasting, storage and multimedia entertainment. [0003] Strong transient is a kind of non-uniform distribution signal relative to the smooth signal. Its generation is often accompanied by strong energy release, high-frequency vibration and high background noise, and at the same time causes a series of changes in the momentum and attitude of the object. Non-uniform, non-stationary, an...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03M7/30
CPCH03M7/3088H03M7/70
Inventor 刘宁苏中袁超杰付国栋李擎宋一平王海璐王天润
Owner BEIJING INFORMATION SCI & TECH UNIV
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