Techniques for the Development of Time-Constraint Telemetric Data Processing System

An increasing number of the research publications devoted to the lossless compression methods indicates growing interest to this area of the engineering design. This interest is explained by the rapid development of the communication and data storage facilities. Compression theory has a long history and the subject is explored in depth. However its application is always limited by the characteristics of the existing equipment. Compression techniques are widely used in multimedia data transmission and storage systems. Quality of the multimedia data and its size represent a trade-off that drives so called lossy compression algorithms. These algorithms provide good compression ratio at the cost of the information loss. Recently a set of lossless compression techniques are introduced for image, video and audio data compression. Lossless methods are less effective when compared with their lossy counterparts, but they provide perfect quality and still offer compression ratio in range from 1.5 to 10. With increasing of available bandwidth of communication channels and capacity of storage devices lossless compression methods are positioned as a replacement of the lossy multimedia compression algorithms. The aim of this research is to investigate the lossless compression technique for the telemetry information that is a type of the multimedia information, the work starts from the examination of the telemetry data format and statistical characteristics. This study provides background for further exploring of the data decorrelation and entropy coding methods that is aimed to design an effective lossless telemetry' compression algorithm. As a result, basic architecture of the lossless telemetry compression system is proposed, and its performance evaluation is introduced.

Name dc:type.qualificationname

PhD

Level dc:type.qualificationlevel

Doctoral

Grantor dc:publisher.institution

De Montfort University

Year dc:date.issued

2006

Author dc:creator

• Sidyakin, Ivan Mikhailovich

Licence

• https://dora.dmu.ac.uk/bitstreams/83814d6c-582e-4bb3-a7f4-c610af381510/download