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.
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Abstract
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.
| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
|---|---|
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| 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 |
| Subjects: | 290000 Engineering and Technology > 290900 Electrical and Electronic Engineering |
| Socio-Economic Objective (SEO2008): | UNSPECIFIED |
| ID Code: | 591 |
| Deposited By: | |
| Deposited On: | 11 Oct 2007 10:25 |
| Last Modified: | 20 Dec 2011 09:50 |
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