In this paper, a novel high-throughput implementation for video decoding based on H.264 is proposed to improve the decoding efficiency. H.264 provides many new functions than previous video coding algorithm that bring more complex computations, Therefore, How t implementation of the decoder efficiency becomes a challenging. Research shows in the decoding flow there are many data dependency amon...

Sequential decoding of long constraint length convolutional codes is proposed as a candidate coding scheme for high quality wireless services. Performance of sequential decoding on Rayleigh fading channels is obtained theoretically and by simulations. Results show that sequential decoding is a good candidate for data oriented services in future wireless communication systems. The applicability ...

In this study, we consider joint channel decoding of Turbo code for multiple correlated data that are observed by sensor nodes densely deployed in a sensor field. We focus on the correlation properties of observation data and try to reduce decoding error by an iterative procedure. An approach to use practical channel codes for more than two correlated data is still not presented. A problem in t...

Joint uncertainty decoding has recently achieved promising results by using front-end uncertainty in the back-end in a mathematically consistent framework. One drawback of the method is that it relies on stereo-data or numerical algorithms, such as DPMC, which have high computational complexity and are difficult to deploy in real applications. We propose a Vector Taylor Series (VTS) approach to...

This paper introduces an audio watermark encoding system that is robust to commonly used audio compression techniques such as MP3, AAC and OGG. The watermark is embedded by applying MPEG Layer 2 Model 2 psychoacoustic masking in an iterative way. The decoding is performed by using a correlation based blind decoding algorithm supported via a wavelet denoising module. Unlike most of the existing ...

Delft University of Technology Faculty of Electrical Engineering, Mathematics and Computer Science CE-MS-2003-13 Entropy Decoding is an essentially sequential task. Executing this task on a processor that benefits from Instruction Level Parallelism (ILP), Data Level Parallelism (DLP) or both requires an efficient implementation of Entropy Decoding. Entropy Decoding forms the part of MPEG-2 Deco...

List Decoding and Property Testing of Error Correcting Codes Atri Rudra Chair of the Supervisory Committee: Associate Professor Venkatesan Guruswami Department of Computer Science and Engineering Error correcting codes systematically introduce redundancy into data so that the original information can be recovered when parts of the redundant data are corrupted. Error correcting codes are used ub...

There are two fundamental approaches for error correction. One approach is to add external redundancy to data. The other approach is to use the redundancy inside data, even if it is only the residual redundancy after a data compression algorithm. The first approach, namely error-correcting codes (ECCs), has been studied actively over the past seventy years. In this work, we explore the second a...

With the increasing demand for high-speed communications systems, forward error correction (FEC) codes and signal processing techniques receive much attention. FEC is a mathematical method for introducing redundancy in a data stream or data block to protect information symbols against potential errors during transmission through a communications channel. A major breakthrough in FEC was achieved...

Divide-and-conquer method for interpolation in Guruswami-Sudan (GS) list decoding algorithm is considered. It is shown that the Groebner basis (GB) of the ideal of bivariate interpolation polynomials (IP) can be obtained as a product of trivariate polynomials corresponding to disjoint subsets of interpolation points. The impact of monomial ordering on the interpolation complexity is studied.