Variable Length error-correcting Codes and Reversible Variable Length Codes: Analysis and Applications

dc.contributor.guideN. Kalyanasundaram and Bhudev Sharmaen_US
dc.creator.researcherRicha Guptaen_US
dc.date.accessioned2015-07-03T10:47:42Z
dc.date.available2015-07-03T10:47:42Z
dc.date.awarded05/12/2013en_US
dc.date.completed05/12/2013en_US
dc.date.issued2015-07-03
dc.date.registered24/07/2009en_US
dc.description.abstractA distinctive faculty with which humans are gifted is ‘communication’ – passing information from a source to a destination over a medium. The medium may technically be called ‘channel’. The long-standing issue is to achieve efficient and reliable communication over an unreliable channel. For efficient communication, we use ‘source codes’ which provide a compressed representation of the information. Reliability is obtained by using ‘channel codes’ which protect information from corruptions by adding structured redundancy into it. Communication is always over a channel and the channel, as mentioned above is invariably subjected to disturbances or noise. To minimize the effects of noise, coding is essential. Joint source channel coding (JSCC) is considered as the most promising scheme for communication over wireless channels, in view of its ability to cope with varying channel quantities. The direct source-channel mapping scheme is a good candidate for joint source channel coding. This thesis discusses two types of direct source channel mapped JSCC - Variable Length Error-correcting Codes (VLECs) and Reversible Variable Length Codes (RVLCs). The combinatorial results are important and these provide limitations on search of a code. We have derived an improved combinatorial bound on average codeword length of a subclass of VLECs. Further, we have considered constant length error correcting codes, available in literature, and developed an algorithm to generate VLECs which can be used in real-time applications. Code construction is incomplete without a decoding algorithm. To reduce the complexity of the decoding algorithm, we have developed a modified method of “Maximum Likelihood VLEC Decoding” which converts exponential search into a tabular search, and thereby reduces the computation time.en_US
dc.format.accompanyingmaterialNoneen_US
dc.identifier.urihttp://hdl.handle.net/10603/44611
dc.languageEnglishen_US
dc.publisher.institutionDepartment of Electronics and Communication Engineeringen_US
dc.publisher.placeNoidaen_US
dc.publisher.universityJaypee Institute of Information Technologyen_US
dc.rightsuniversityen_US
dc.source.universityUniversityen_US
dc.subject.keywordAnalysis and Applicationsen_US
dc.subject.keywordError Correctingen_US
dc.subject.keywordLengthen_US
dc.subject.keywordReversible Variableen_US
dc.subject.keywordVariableen_US
dc.titleVariable Length error-correcting Codes and Reversible Variable Length Codes: Analysis and Applicationsen_US
dc.type.degreePh.D.en_US

Files

Original bundle

Now showing 1 - 5 of 17
Loading...
Thumbnail Image
Name:
01_title.pdf
Size:
181.07 KB
Format:
Adobe Portable Document Format
Description:
Attached File
Loading...
Thumbnail Image
Name:
02_table of contents.pdf
Size:
132.1 KB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
03_declaration & certificate.pdf
Size:
98.24 KB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
04_abstract.pdf
Size:
99.76 KB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
05_acknowledgement.pdf
Size:
99 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.79 KB
Format:
Plain Text
Description: