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Machine translation is one of the challenging field in NLP. The goal of machine translation is to automatically translate a sentence from one language to another. In this paper we can introduce an hybrid approach for translating Malayalam sentences to corresponding English sentence. The hybrid approach combines both example based machine translation technique and transfer approaches to deliver greater...
Distributed Video Coding (DVC) is a video coding archetype that explores the source statistics at the decoder and hence reducing the encoder complexity. The Rate-Distortion (RD) performance of DVC strongly depends on the quality of the side information (SI) generation. So, efficient techniques to generate reliable SI are therefore essential to obtain a better quality of decoded video. In this paper,...
In support of applications involving multiview sources in distributed object recognition using lightweight cameras, we propose a new method for the distributed coding of sparse sources as visual descriptor histograms extracted from multiview images. The problem is challenging due to the computational and energy constraints at each camera as well as the limitations regarding inter-camera communication...
For the first time, a CO2 far-infrared laser annealing (CO2-FIR-LA) technology was developed as the activation solution to enable highly heterogeneous integration without causing device degradation for TSV-free monolithic 3DIC. This process is capable to implement small-area-small-load vertical connectors, gate-first high-k/metal gate MOSFETs and non-Al metal inter-connects. Such a far-infrared laser...
This paper proposes a distributed compressive sensing (CS) scheme for robust image transmission over unknown or time-varying channels with highly correlated images at the decoder. A compressed thumbnail is first transmitted after digital forward error correction (FEC) and modulation to retrieve highly correlated images and generate a side information (SI) at the decoder. The current residual image...
By combining the advantages of distributed video coding (DVC) and compressive sensing (CS), distributed compressive video sensing (DCVS) poses itself as a very promising low-complexity video coding framework for distributed applications. In order to improve the rate-distortion performance of DCVS, much research efforts have been focused on exploring the best ways to utilize the spatial/temporal redundancy...
In this paper, we propose to optimize the distribution of the average relay energy in a Cooperative Automatic Repeat reQuest (C-ARQ) scheme. We consider wireless transmissions over Rayleigh fading channels between two sources nodes, one relay node and one destination node. We propose to use specific relay and destination treatment for different possible cases. When only one received packet is detected...
This paper focuses on two-way relaying (TWR) system, where two source nodes exchange information with each other simultaneously via the relay node. We proposes a denoise-and-forward two-way relaying (DNF-TWR) scheme using non-coherent multiple differential phase-shift keying (M-DPSK) modulation when the channel state information (CSI) is unknown. Firstly, we design the denoising mapping function at...
Recently, two novel matrices whose some entries are not syndromes and other entries are known syndromes have been presented to generate weak-locator polynomials needed in decoding the ternary quadratic residue code of length 61. This paper proposes a new unknown syndrome calculation for a class of cyclic codes and a completely algebraic decoding of the (23, 11, 9) ternary quadratic residue code up...
We consider analog multiple description joint source-channel schemes for the transmission of a Gaussian source over two independent AWGN parallel channels under a quadratic error distortion criteria. For such systems, Lines mapping was proved to be a simple and efficient mapping when MMSE decoding is used. However, MMSE decoding presents a high computational load. In order to reduce complexity of...
The coordination of autonomous agents is a critical issue for decentralized communication networks. Instead of transmitting information, the agents interact in a coordinated manner in order to optimize a general objective function. A target joint probability distribution is achievable if there exists a code such that the sequences of symbols are jointly typical. The empirical coordination is strongly...
A single-letter lower bound on the sum rate of multiple description coding with tree-structured distortion constraints is established and is shown to be tight in the quadratic Gaussian case.
We propose an information-theoretic framework for matrix completion. The theory goes beyond the low-rank structure and applies to general matrices of “low description complexity”. Specifically, we consider random matrices X ∈ ℝm×n of arbitrary distribution (continuous, discrete, discrete-continuous mixture, or even singular). With S ⊆ ℝm×n an ε-support set of X, i.e., P[X ∈ S] ≥ 1 − ε, and equation...
In this paper, we study the impact of a full-duplex secondary node on a cognitive cooperative network with Multipacket Reception (MPR) capabilities at the receivers. Motivated by recent schemes that make full-duplex communication feasible, we study a model with one primary and one secondary transmitter-receiver pair, where the secondary transmitter is able to relay primary unsuccessful packets. Cooperation...
We investigate the general relay channel with state that is noncausally known at the source. We first present a multiletter characterization of the capacity using the Gelfand-Pinsker encoding scheme. We then tailor the result to the general Gaussian relay channel with additive interference noncausally known at the source and compute a closed-form lower bound to the capacity using the joint dirty paper...
In this paper, the problem of lossy source coding with side information at the decoder is considered when the dependency between the source and the side information (SI) is quasi-stationary and unknown to the encoder. This dependency is modeled using a (virtual) block fading channel. In order to help the decoder estimate the dependency, a part of the transmitted source in each block is coded at high...
We study the rate control problem for video transmission environments which require real-time encoding and transfer of the video data, and where rate-distortion (RD) optimal rate control approaches requiring a long encoding delay cannot be used. We propose two novel RD optimized rate control approaches based on dynamic programming and Lagrangian optimization.
This paper introduces an algorithm called 3-stage current sorting (3S-CS) in half-unary weighted current cells to improve the linearity of a current-steering digital-to-analog converter (DAC). Based our statistical analysis and simulation results, the proposed algorithm improves the DAC static linearity as well as its dynamic performance.
In MIMO applications, the minimum mean square error parallel interference cancellation (MMSE-PIC) based Soft-Input Soft-Output (SISO) detector has been widely adopted because of its low complexity and good bit error rate (BER) performance. In this paper, we firstly propose to use a Gaussian model based MMSE detection algorithm to implement MMSE-PIC with low complexity. This algorithm, which can detect...
We propose a compression scheme for still images, by exploiting the theory of Distributed Coding of correlated multi-sources. Two corrupted versions of an image are encoded separately but decoding jointly. Our approach results in twofold. i) use of decomposition of low-pass wavelet co-efficients for creating the Side Information, and ii) variable-length coset creation by estimating the bit-rate of...
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