Lossless Data Compression of Packet Data Streams,

1996 ◽  
Author(s):  
Junho Choi ◽  
Mitchell R. Grunes
Keyword(s):  
Data Compression ◽  
Data Streams ◽  
Packet Data ◽  
Lossless Data Compression

scholarly journals Stream-Based Lossless Data Compression

2021 ◽  
pp. 391-410
Author(s):  
Shinichi Yamagiwa
Keyword(s):  
Data Compression ◽  
Data Streams ◽  
Data Stream ◽  
Optimization Techniques ◽  
Continuous Data ◽  
Massive Data ◽  
Compression Mechanism ◽  
Lossless Data Compression ◽  
Optimal Implementation

AbstractIn this chapter, we introduce aspects of applying data-compression techniques. First, we study the background of recent communication data paths. The focus of this chapter is a fast lossless data-compression mechanism that handles data streams completely. A data stream comprises continuous data with no termination of the massive data generated by sources such as movies and sensors. In this chapter, we introduce LCA-SLT and LCA-DLT, which accept the data streams, as well as several implementations of these stream-based compression techniques. We also show optimization techniques for optimal implementation in hardware.

Joint Source-Channel Coding in Dictionary Methods of Lossless Data Compression

2010 ◽  
Vol 56 (4) ◽  
pp. 351-355
Author(s):  
Marcin Rodziewicz
Keyword(s):  
Data Compression ◽  
Channel Coding ◽  
Data Stream ◽  
Noisy Channels ◽  
Error Resiliency ◽  
Joint Source Channel Coding ◽  
Lossless Data Compression ◽  
Compressed Data ◽  
Source Channel Coding

Joint Source-Channel Coding in Dictionary Methods of Lossless Data Compression Limitations on memory and resources of communications systems require powerful data compression methods. Decompression of compressed data stream is very sensitive to errors which arise during transmission over noisy channels, therefore error correction coding is also required. One of the solutions to this problem is the application of joint source and channel coding. This paper contains a description of methods of joint source-channel coding based on the popular data compression algorithms LZ'77 and LZSS. These methods are capable of introducing some error resiliency into compressed stream of data without degradation of the compression ratio. We analyze joint source and channel coding algorithms based on these compression methods and present their novel extensions. We also present some simulation results showing usefulness and achievable quality of the analyzed algorithms.

Optimal Lossless Data Compression Methodology

2021 ◽  
Author(s):  
Sanjana Rao ◽  
Vidyashree T S ◽  
Manasa M ◽  
Bindushree V ◽  
C. Gururaj
Keyword(s):  
Data Compression ◽  
Lossless Data Compression

scholarly journals Comparison Study of Lossless Data Compression Algorithms for Text Data

2013 ◽  
Vol 11 (6) ◽  
pp. 15-19 ◽  
Author(s):  
Arup Kumar Bhattacharjee Arup Kumar Bhattacharjee
Keyword(s):  
Data Compression ◽  
Comparison Study ◽  
Text Data ◽  
Compression Algorithms ◽  
Lossless Data Compression
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