Javad Haghighat

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Lossless turbo source coding with decremental redundancy is an effective approach for compressing binary sources. A large block length lossless turbo source encoder offers compression rates close to the source entropy but with large latency. In this letter, we propose a lossless compression technique for binary memoryless sources using short block length(More)
We propose a new signal-processing scheme, referred to as Decode-Compress-and-Forward with SelectiveCooperation (DCF-SC). In DCF-SC, the relay dedicates a certain amount of time to listen to the message broadcasted by the source and then performs Soft-Input Soft-Output (SISO) decoding. The relay then quantizes the Log-Likelihood Ratio (LLR) values received(More)
We consider the transmission of a discrete memoryless Gaussian source over a discrete memoryless fading channel with additive white Gaussian noise (AWGN) where the decoder has perfect channel state information (CSI). Our goal is to characterize the optimal tradeoff between the average transmission power constraint, P and the average estimation distortion,(More)
An iterative joint decoding algorithm for data gathering wireless sensor networks is proposed in where the correlation between sensorspsila data is considered as a global code and iterative decoding is performed by concatenating the global decoder with the decoder of error correcting code applied to encode sensors observations. We apply this algorithm for(More)
Recently Sorokine et al. have introduced a class of Low-density pariwcheck (LDPC) codes which when applied on IS95 CDMA system show a live-fold and two-fold increase in capacity at BER=lO' compared to the traditional uncoded scheme and state-of-the-art Low-Rate Orthogonal Convolutional codes, respectively. However, these codes suffer from an error-floor at(More)
One of the main challenges facing wireless sensor networks (WSNs) is the limited power resources available at small sensor nodes. It is therefore desired to reduce the power consumption of sensors while keeping the distortion between the source and its estimate at the fusion centre (FC) below a specific threshold. In this paper, we analyze a subset(More)
Lossless turbo source coding with decremental redundancy is an effective approach for compressing binary sources. In this method, the message is encoded using a turbo code. Then the parities are heavily punctured using an iterative process and all non-punctured parities along with side information are sent to the decoder. To improve the performance, a(More)
We consider the problem of joint decoding and datafusion in data gathering sensor networks modeled by the Chief Executive Officer (CEO) problem. Correlation between sensors' data is known at the fusion center and is employed to update extrinsic information received from soft-in soft-out (SISO) decoders. It is shown in the literature that this scheme has a(More)
Energy Efficient Relay Selection Schemes For Cooperative Uniformly Distributed Wireless Sensor Networks Wafic W. Alameddine Wireless sensor networks (WSNs) are commonly used in many applications. The energy efficiency of the system has become the subject of extensive research lately. In this thesis we will introduce relay selection schemes that attempt to(More)