Iterative Decoding of Parallel and Serial Concatenated Codes - PU, CHUAN HSIAN
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In the past few decades, many forward error correction (FEC) codes have been proposed to improve the performance of digital communication systems. The problem involving many conventional FEC techniques are that the complexity and cost of such coding systems usually increase dramatically with respect to the attainable coding gain. The author focused on the study of the concatenated convolutional codes and their iterative decoding methodologies. Parallel concatenated convolutional codes (PCCC) and serial convolutional concatenated codes (SCCC) are studied to explore their potentiality to…mehr

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Produktbeschreibung
In the past few decades, many forward error correction (FEC) codes have been proposed to improve the performance of digital communication systems. The problem involving many conventional FEC techniques are that the complexity and cost of such coding systems usually increase dramatically with respect to the attainable coding gain. The author focused on the study of the concatenated convolutional codes and their iterative decoding methodologies. Parallel concatenated convolutional codes (PCCC) and serial convolutional concatenated codes (SCCC) are studied to explore their potentiality to approximate Shannon's channel capacity with feasible complexity. Simulation are performed on PCCC and SCCC to understand the performance of the mentioned coding schemes in various circumstances and enables reseaerchers, academicians to fully exploit the potential of such coding schemes for future 4G communication system requirements.
Autorenporträt
PU CHUAN HSIAN graduated from Multimedia University Malaysia since 2005 with Master of Engineering in Telecommunication. From 2002-2007, he worked with KBU International College as lecturer for school of engineering and computing.Currently,he worked with Taylors University College and teaches mathematics,physics and circuit theory.