数据压缩在次声监测中的应用

随着次声监测要求的不断提高,次声监测数据量急剧增加,这使数据传输、存储、处理的压力也越来越大。为了解决该问题,结合次声监测数据体存在信息冗余和互相关的特性,采用有能量集中效应的改进型离散余弦变换（MDCT）、改善信噪比的非线性压缩与扩张量化和高编码速率的自适应Huffman统计编码技术,对次声数据体进行压缩处理。该技术是一种有损压缩技术,根据数据的信噪比、松散度、复杂度等数据特征,统筹数据压缩和损失程度,合理选择压缩比,实现对次声监测数据体的低失真压缩。...

Full description

Saved in:
Bibliographic Details
Published in电子技术应用 Vol. 42; no. 11; pp. 70 - 73
Main Author 司明 李志华 刘定星
Format Journal Article
LanguageChinese
Published 中国地质大学(武汉)自动化学院,湖北武汉,430074 2016
Subjects
压扩量化
数据压缩
次声监测
离散余弦变换
霍夫曼编码
数据压缩
data compression
DCT
次声监测
霍夫曼编码
离散余弦变换
压扩量化
infrasound monitoring
Huffman coding
quantization
Online AccessGet full text
ISSN0258-7998
DOI10.16157/j.issn.0258-7998.2016.11.018

Cover

More Information
Summary:随着次声监测要求的不断提高,次声监测数据量急剧增加,这使数据传输、存储、处理的压力也越来越大。为了解决该问题,结合次声监测数据体存在信息冗余和互相关的特性,采用有能量集中效应的改进型离散余弦变换（MDCT）、改善信噪比的非线性压缩与扩张量化和高编码速率的自适应Huffman统计编码技术,对次声数据体进行压缩处理。该技术是一种有损压缩技术,根据数据的信噪比、松散度、复杂度等数据特征,统筹数据压缩和损失程度,合理选择压缩比,实现对次声监测数据体的低失真压缩。
Bibliography:With the continuous improvement of the infrasound monitoring requirements, the data of infrasound monitoring has increased dramatically, making the pressure of data transmission, storage and processing bigger and bigger. In order to solve the problem, combining redundancy of infrasound monitoring data volume and cross-correlation characteristic, this paper adopts modified discrete cosine transform（MDCT）, nonlinear quantitative of compression and expansion and Huffman statistical coding technique to compress the infrasound data volume. The technology is a loss compression technique. If compression ratio is reasonably selected accord- ing to signal-to-noise ratio, loose, complexity and data characteristics, the system will achieve a low distorted compression of infrasound monitoring data.
infrasound monitoring; data compression ; DCT ; quantization ; Huffman coding
Si Ming, Li Zhihua, Liu Dingxing （College of Automation, China University of Geosciences, Wuhan 430074, China）
11-2305/TN
ISSN:0258-7998
DOI:10.16157/j.issn.0258-7998.2016.11.018