Data compression and decompression method on basis of orthogonal wavelet packet transform and rotating door algorithm

Abstract

The invention discloses a two-stage data compression and decompression method on the basis of orthogonal wavelet packet transformation and a rotating door algorithm. Data compression comprises the following steps of: (1) carrying out orthogonal wavelet packet transformation on original data to obtain a wavelet packet coefficient; (2) carrying out threshold processing on the wavelet packet coefficient obtained in the step (1); and (3) carrying out secondary compression on the wavelet packet coefficient subjected to threshold processing by adopting the rotating door algorithm. Compressed data is stored into a historical database or a disk. Decompression on the compressed data comprises the following steps of: (4) carrying out linear interpolation on the compressed data and recovering to obtain primary compressed data; and (5) carrying out wavelet packet reconstitution on the primary compressed data to obtain the original data. The invention solves the problem of difficulty in compressing a nonstationary analog signal in a large-scale real-time database and provides the data compression and decompression method which is simple to implement, has a high data compression ratio and has an obvious compressing effect on the nonstationary analog signal.

Description

technical field [0001] The invention relates to the technical field of mass data storage, in particular to a two-level data compression and decompression method for a real-time database. Background technique [0002] The large-scale real-time database system is used to store the real-time collected, processed, and sorted data of various networked equipment, so as to realize online operation monitoring, operation parameter optimization, dispatching command, and online fault diagnosis of all equipment, and improve the production management of enterprises. It is of great significance to ensure the safe and stable operation of the equipment. In some large-scale applications oriented to the process industry, it is necessary to realize the storage of massive data. [0003] For massive data, if these data are directly stored, disk space will be greatly wasted and data access efficiency will be reduced. Due to the special regularity of real-time data production, it is not feasible...

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Problems solved by technology

[0006] In order to solve the problem of poor compression effect of non-stationary signal data, the present invention provides a data compression and decompression method that is easy to implement, has a high compression ratio, is suitable for non-stationary signal compression, and has strong anti-interference ability

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