Simulation of LDPC convolutional decoders with CPU and GPU

2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet) ◽

10.1109/cecnet.2012.6202062 ◽

2012 ◽

Cited By ~ 2

Author(s):

Chi H. Chan ◽

Francis C. M. Lau

Keyword(s):

Convolutional Decoders

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A Memory-Based Architecture for FPGA Implementations of Low-Density Parity-Check Convolutional Decoders

2005 IEEE International Symposium on Circuits and Systems ◽

10.1109/iscas.2005.1464593 ◽

2005 ◽

Cited By ~ 16

Author(s):

S. Bates ◽

G. Block

Keyword(s):

Low Density ◽

Parity Check ◽

Low Density Parity Check ◽

Convolutional Decoders

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On the design of practical minimum distance convolutional decoders

Algebraic Coding Theory and Applications ◽

10.1007/978-3-662-39641-4_10 ◽

1979 ◽

pp. 395-422

Author(s):

R. M. F. Goodman

Keyword(s):

Minimum Distance ◽

Convolutional Decoders

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On Stability of Multi-Valued Nonlinear Feedback Shift Registers

Complexity ◽

10.1155/2019/8765970 ◽

2019 ◽

Vol 2019 ◽

pp. 1-11 ◽

Cited By ~ 1

Author(s):

Haiyan Wang ◽

Qiuzhen Lin ◽

Jianyong Chen ◽

Jianqiang Li ◽

Jianghua Zhong ◽

...

Keyword(s):

Error Propagation ◽

Necessary Conditions ◽

Building Blocks ◽

Nonlinear Feedback ◽

Logic Network ◽

Sufficient And Necessary Conditions ◽

Nonlinear Feedback Shift Registers ◽

Feedback Shift Registers ◽

The Stability ◽

Convolutional Decoders

Nonlinear feedback shift registers (NFSRs) are the main building blocks in many convolutional decoders, and a stable NFSR can limit decoding error propagation. Due to lack of efficient algebraic tools, the stability of multi-valued NFSRs has been much less studied. This paper studies the stability of multi-valued NFSRs using a logic network approach. A multi-valued NFSR can be viewed as a logic network. Based on its logic network representation, some sufficient and necessary conditions are provided for globally (locally) stable multi-valued NFSRs, explicit forms are given for the set of basins, and the algorithm for obtaining the set of basins is provided as well. Finally, a new method is presented for constructing stable n+1-stage NFSRs from stable n-stage NFSRs by the properties of D-morphism.

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