Xiang, Wei and Pietrobon, Steven S. (2005) A new class of parallel data convolutional codes. In: AusCTW 2005: 6th Australian Communications Theory Workshop, 2-4 Feb 2005, Brisbane, Australia.
We propose a new class of parallel data convolutional codes (PDCCs) in this paper. The PDCC encoders inputs are composed of an original block of data and its interleaved version. A novel single self-iterative soft-in/soft-out a posteriori probability (APP) decoder structure is proposed for the decoding of the PDCCs. Simulation results are presented to compare the performance of PDCCs.
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|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Item Status:||Live Archive|
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|Depositing User:||epEditor USQ|
|Faculty / Department / School:||Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering|
|Date Deposited:||11 Oct 2007 00:25|
|Last Modified:||02 Jul 2013 22:33|
|Uncontrolled Keywords:||parallel data convolutional codes (PDCCs) self-iterative, a posteriori probability (APP)|
|Fields of Research (FOR2008):||09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation
09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
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