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Decoding Algorithm
"... Multiple-input multiple-output (MIMO) systems have been widely acclaimed in order to provide high data rates. Recently Lattice Reduction (LR) aided detectors have been proposed to achieve near Maximum Likelihood (ML) performance with low complexity. In this paper, we develop the fixed point design o ..."
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of an iterative soft decision based LR-aided K-best decoder, which reduces the complexity of existing sphere decoder. A simulation based word-length optimization is presented for physical implementation of the K-best decoder. Simulations show that the fixed point result of 16 bit precision can keep bit error rate
Decoding Algorithm in Statistical Machine Translation
, 1997
"... Decoding algorithm is a crucial part in sta- tistical machine translation. We describe a stack decoding algorithm in this paper. ..."
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Cited by 44 (2 self)
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Decoding algorithm is a crucial part in sta- tistical machine translation. We describe a stack decoding algorithm in this paper.
An Efficient Decoding Algorithm for WFA
"... Several promising image/video data compression techniques that explicitly exploit self-similarity in images and videos have been proposed in the recent past. While most of these fractal techniques are variants and/or enhancements of Jacquin's Iterated Function Systems (IFS), the Weighted Finite ..."
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Finite Automata (WFA) techniques (introduced by Culik and Kari) are based on automata theory and are known to yield better compression rates than the IFS techniques in practice. The algorithm proposed by Culik and Kari for decoding WFA is simple but inecient. It is very slow and has very high memory
List Decoding: Algorithms and Applications
- SIGACT News
, 2000
"... Over the years coding theory and complexity theory have benefited from a number of mutually enriching connections. This article focuses on a new connection that has emerged between the two topics in the recent years. This connection is centered around the notion of "list-decoding" for ..."
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Cited by 36 (0 self)
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" for error-correcting codes. In this survey we describe the list-decoding problem, the algorithms that have been developed, and a diverse collection of applications within complexity theory. 1
Bifurcations and chaos in the turbo decoding algorithm
- Cornell University
, 2003
"... Abstract. The turbo decoding algorithm is a high-dimensional dynamical system parameterized by a large number of parameters (for a practical realization the turbo decoding algorithm has more than 10 3 variables and is parameterized by more than 10 3 parameters). In this chapter we treat the turbo de ..."
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Cited by 2 (1 self)
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Abstract. The turbo decoding algorithm is a high-dimensional dynamical system parameterized by a large number of parameters (for a practical realization the turbo decoding algorithm has more than 10 3 variables and is parameterized by more than 10 3 parameters). In this chapter we treat the turbo
An Algebraic Decoding Algorithm for Convolutional Codes
, 1998
"... this article to introduce a new iterative algebraic decoding algorithm which is capable of decoding convolutional codes which have a certain underlying algebraic structure. The algorithm exploits the algebraic structure of the convolutional code and it achieves its best performance if some naturally ..."
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Cited by 7 (3 self)
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this article to introduce a new iterative algebraic decoding algorithm which is capable of decoding convolutional codes which have a certain underlying algebraic structure. The algorithm exploits the algebraic structure of the convolutional code and it achieves its best performance if some
Memory Optimization of MAPTurbo Decoder Algorithms
- IEEE Trans. VLSI Syst
, 2001
"... Turbo codes are the most recent breakthrough in coding theory. However, the decoder's implementation cost limits their incorporation in commercial systems. Although the decoding algorithm is highly data dominated, no true memory optimization study has been performed yet. We have extensively and ..."
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Cited by 27 (2 self)
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Turbo codes are the most recent breakthrough in coding theory. However, the decoder's implementation cost limits their incorporation in commercial systems. Although the decoding algorithm is highly data dominated, no true memory optimization study has been performed yet. We have extensively
THE SNOWFLAKE DECODING ALGORITHM
"... Abstract. This paper describes an automated algorithm for generating a group code using any unitary group, initial vector, and generating set that satisfy a necessary condition. Examples with exceptional complex reflection groups, as well as an analysis of the decoding complexity, are also included. ..."
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Abstract. This paper describes an automated algorithm for generating a group code using any unitary group, initial vector, and generating set that satisfy a necessary condition. Examples with exceptional complex reflection groups, as well as an analysis of the decoding complexity, are also included
Parallelized Optimization of LDPC Decoding Algorithms
"... Abstract. One of the major problems in communications engineering is to efficiently recover errors of transmitted data blocks by forward error correction (FEC). Low Density Parity Check (LDPC) codes are very popular for FEC. They are known to be one of the best coding schemes in terms of error corre ..."
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correction performance. Because the decoding of practically used LDPC codes is NP-hard, only suboptimal algorithms can be applied. To optimize decoding algorithms in terms of decoding performance, a high amount of numerical simulations is needed. We present a parallelized method for evaluating and optimizing
Results 1 - 10
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137,741
