UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2404923


Registration ID:
537435

Page Number

j187-j194

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Title

Adaptive Window Sizing and Rate Compression for Enhanced Signal Compression and Encryption

Abstract

Signal compression and encryption are essential techniques in digital communication systems to efficiently transmit and secure data. This paper introduces a novel approach utilizing window adjustment and a rate compressor for effective signal compression and encryption. The proposed method optimizes data representation by dynamically adjusting the analysis window size based on signal characteristics, enhancing compression performance. Additionally, a rate compressor mechanism is integrated to efficiently allocate bits based on signal complexity, ensuring robust encryption while minimizing data overhead. In this approach, the signal is segmented into windows of variable size, determined adaptively during analysis to capture both local and global features efficiently. By adjusting the window size dynamically, the method achieves improved compression ratios without sacrificing signal fidelity. Moreover, the rate compressor intelligently allocates bits according to the signal's information content, enhancing encryption strength while reducing redundancy. The efficacy of the proposed technique is demonstrated through experimental results on various types of signals, showcasing superior compression rates compared to traditional methods. Furthermore, the encryption performance is evaluated against common attacks, highlighting the robustness and security of the approach. This paper contributes a versatile framework for signal compression and encryption, leveraging window adjustment and rate compression to optimize data representation and enhance security. The adaptive window sizing and intelligent bit allocation enable efficient utilization of resources while maintaining data integrity and confidentiality. The proposed approach holds promise for diverse applications in digital communication systems requiring efficient data transmission and secure information exchange.

Key Words

Signal compression, Signal encryption, Window adjustment, Rate compressor, Data representation, Information security

Cite This Article

"Adaptive Window Sizing and Rate Compression for Enhanced Signal Compression and Encryption", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.j187-j194, April-2024, Available :http://www.jetir.org/papers/JETIR2404923.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Adaptive Window Sizing and Rate Compression for Enhanced Signal Compression and Encryption", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppj187-j194, April-2024, Available at : http://www.jetir.org/papers/JETIR2404923.pdf

Publication Details

Published Paper ID: JETIR2404923
Registration ID: 537435
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: j187-j194
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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