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...

The development of new technologies for voice communication has led to the need improvement speech enhancement methods. Modern users information systems place high demands on both intelligibility signal and its perceptual quality. In this work we propose a approach solving problem enhancement. For this, modified pyramidal transformer neural network with an encoder-decoder structure was develope...

Wyner-Ziv (WZ) encoder is a low -complexity encoder and can be made to achieve compression comparable to traditional high complexity encoders but at the expense of a high-complexity decoder. The high complexity of the decoder is mainly attributed to the generation of side information which involves motion estimation. In this paper sub-pixel motion estimation and intra-prediction based on H.264 ...

We provide a general treatment of optimal soft decoding for vector quantization over noisy channels with nite memory. The main result is a recursive implementation of optimal decoding. We also consider an approach to sub-optimal decoding, of lower complexity, being based on a generalization of the Viterbi algorithm. Finally we treat the problem of combined encoder{decoder design. Simulations co...

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 of an iterative soft decision based LR-aided K-best decoder, which reduces the complexity of exist...

Most of the reported Distributed Video Coding (DVC) schemes have a high time-delay in decoder which hinders its practical application in real-time systems. In this paper, we propose a novel DVC architecture based on MPI cluster in a practical scene, which includes three major approaches to accelerate decoder: an efficient parallel algorithm for generation of the Side Information (SI), a paralle...

The NTT Statistical Machine Translation System consists of two primary components: a statistical machine translation decoder and a reranker. The decoder generates kbest translation canditates using a hierarchical phrase-based translation based on synchronous context-free grammar. The decoder employs a linear feature combination among several real-valued scores on translation and language models...

Distributed Video Coding (DVC) is a video coding paradigm which mainly exploits the source statistics at the decoder based on the availability of side information at the decoder. This paper considers feedback channel based Transform Domain Wyner-Ziv (TDWZ) DVC. The coding efficiency of TDWZ video coding does not match that of conventional video coding yet, mainly due to the quality of side info...