Publication Type:

Journal Article

Source:

Journal of Telecommunication, Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Volume 8, Number 5, p.105-110 (2016)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992478719&partnerID=40&md5=cc194a48ab2c43df15a0a90c0c5ef6fe

Abstract:

Recently, there has been an extensive research on the decoding of Block Turbo Codes (BTCs) achieving near optimum performance at higher noise levels. In this paper, two performances for enhancing novel BTC decoders based on Particle Swarm Optimisation (PSO) and Support Vector Machine (SVM) have been proposed. The decoding latency for the PSO based BTC decoder was much lesser for higher block length BTCs. SVM was adaptable to the channel characteristics and this made it easy to design application specific decoder for BTCs based on SVM.

Notes:

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Cite this Research Publication

V. A. Sudharsan, Karthik, V. B. Vijay, Vaishnavi, J. S. C., Abirami, S. D., and Dr. Yamuna B., “Performance Enhanced Iterative Soft-Input Soft-Output Decoding Algorithms for Block Turbo Codes”, Journal of Telecommunication, Electronic and Computer Engineering, vol. 8, pp. 105-110, 2016.