Xiang, Wei and Pietrobon, Steven S. (2005) A new class of parallel data convolutional codes. In: Australian Communications Theory Workshop 2005 (AusCTW2005), 02-04 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 (DEST Category E) (Paper) |
|---|---|
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| Uncontrolled Keywords: | parallel data convolutional codes (PDCCs) self-iterative, a posteriori probability (APP) |
| Fields of Research (FOR2008): | UNSPECIFIED |
| Subjects: | 290000 Engineering and Technology > 290900 Electrical and Electronic Engineering |
| Socio-Economic Objective (SEO2008): | UNSPECIFIED |
| ID Code: | 591 |
| Deposited By: | epEditor USQ |
| Deposited On: | 11 Oct 2007 10:25 |
| Last Modified: | 10 Aug 2009 15:17 |
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