Cohesive constraints allow the phrase-based decoder to employ arbitrary, non-syntactic phrases, and encourage it to translate those phrases in an order that respects the source dependency tree structure. We present extensions of the cohesive constraints, such as exhaustive interruption count and rich interruption check. We show that the cohesion-enhanced decoder significantly outperforms the st...

This paper is aimed to optimize the binary LDPC decoder which has been shown to outperform commonly used codes for many communications and storage channels. Currently proposed binary LDPC decoder architectures have very high rates close to the channel capacity for the large code word length, in this research work we had presented a decoding algorithm based on belief propagation and provide deta...

It is well known that data transmissions over wireless channels are affected by attenuation, distortion, interference and noise, which affect the receiver’s ability to receive correct information. Convolutional encoding with Viterbi decoding is a powerful method for forward error detection and correction. It has been widely deployed in many wireless communication systems to improve the limited ...

The key objective of this project is to design a decoder which can be used for hardware purpose. A decoder is a combinational circuit that converts binary information from n input lines to a maximum of m=2 output lines. In this paper are design of Dynamic decoder and Tree Decoder. Also shows a comparative analysis of tree decoder with corresponding dynamic decoder and tree decoder highlights th...

This paper describes a decoding algorithm for statistical machine translation based on phrases. In the past, the solution to the decoding problem were inspired from that of speech recognizers, translating each input word into one or more output words generating in left-to-right direction. The algorithm presented here iteratively constructs phrases or chunks of cepts until all the input words ar...

We present a simple, effective iterative structure for joint source-channel decoding using global iterations between a source and channel decoder. The source decoder uses the Sequence Based Approximate Minimum Mean Square Error (SAMMSE) algorithm. The iterative structure is tested using both LDPC and turbo channel codes and simulations show significant performance gains over non-iterative syste...

Low-Density Parity Check (LDPC) codes are linear block codes which perform closer to Shannon‟s limit. It is defined by the parity check matrix (PCM) which contains only a few ones in comparison to the number of zeros (sparsity). Stochastic based computation is a method to design lowprecision digital circuits. In stochastic computing, probabilities are encoded by random sequences of bits. In thi...

Urban design problems have become so complex that no single designer is able to consider all aspects of a design area simultaneously. Lately the application of computerized and scientific methods have helped designers analyze complex problems. One of these new methods is Space Syntax. The purpose of this study is to first investigate the strengths and weaknesses of this method and then suggest ...