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This paper investigates the detection schemes for single-carrier underwater acoustic communications over the severe time-dispersive channels. A low-density parity-check (LDPC) code is employed for the improvement of the equalization performance. A detection scheme with Turbo conception is proposed which includes a LDPC decoder in the feedback loop of an iterative block decision feedback equalizer...
This paper proposes a general framework aiming at describing and comparing LDPC decoders based on the ADMM approach. ADMM is a linear programming decoding method. When applied on LDPC codes, it acts as an iterative message passing technique and enhances the error correction performance compared with the usual belief propagation based decoders. In this paper, three ADMM decoding algorithms classified...
Compressed Sensing(CS) based video coding techniques are low-complexity in general, but with marginal compression results. Also, wireless multimedia devices have serious resource constraints, with fluctuations in bandwidth(for up-link traffic) and available power. In this paper we propose a nested technique in which CS data is further compressed within the CS domain to give far better compression...
The development of smart platforms in the Internet-of-Things (IoT) paradigm requires a number of technological advances to go hand in hand. IoT devices and entities have very diverse set of capabilities in terms of memory, power, and processing and are connected via a wide range of links with various qualities and capacities. This work focuses on the design of state-of-the-art data transmission methodology...
In [1], [2], two schemes have been proposed to recover the support of a K-sparse N-dimensional signal from noisy linear measurements. Both schemes use left-regular sparse-graph code based sensing matrices and a simple peeling-based decoding algorithm. Both the schemes require O(K logN) measurements and the first scheme require O(N logN) computations whereas the second scheme requires O(K logN) computations...
We study the problem of estimating an unknown vector from noisy underdetermined observations, with recovery guarantees. In such context, a regularity model on the unknown is needed to obtain recovery guarantees. We show that we can guarantee the recovery of generic models (cones) with the minimization of an arbitrary regularizer subject to a data-fit constraint (generalized robust basis pursuit) under...
Algebraic-geometric (AG) codes have long been considered as a possible candidate to replace Reed-Solomon (RS) codes. However, their decoding remains complex and infeasible to implement. Addressing this challenge, our paper proposes a low-complexity Chase (LCC) decoding algorithm for the most popular class of AG codes - Hermitian codes. The LCC decoding is realised by formulating decoding test-vectors,...
We propose a new method for low-complexity compression of multispectral images based on universal vector quantization. Our approach generalizes the recently developed theory of universal scalar quantization to vector quantization, and uses it in the context of distributed coding. We exploit the availability of side information on the decoder to reduce the encoding rate of a vector quantizer, applied...
It's known that the bit errors of polar codes with successive cancellation (SC) decoding are coupled. We call the coupled information bits the correlated bits. In this paper, concatenation schemes are studied for polar codes and LDPC codes. In a conventional concatenation scheme, to achieve a better BER performance, one can divide all bits in a LDPC block into polar blocks to completely de-correlate...
Sparse code multiple access (SCMA) is a code domain non-orthogonal multiple-access technique introduced for future 5G wireless networks. This paper describes the basic ideas of SCMA, the SCMA codebook design, the encoder and decoder, as well as the SCMA enabled transmission schemes for different application scenarios, including uplink grant-free contention-based transmission, downlink multi-user superposition,...
This paper investigates block error rate (BLER) performance and computational complexity of candidate channel coding schemes for ultra-reliable low latency communication (URLLC) in 5G. The considered candidates are the same as those identified in 3GPP: turbo, LDPC, polar, and convolutional codes. Details of code constructions and decoding algorithms are provided with computational complexity analysis...
To increase the overall visual quality of the video services without increasing data rate, we developed an unequal protection technique called UEP3D (Unequal Error Protection 3D) based on a hierarchy of the video stream in different levels of importance,. The determination of levels of importance takes three classification criteria: pixel level, macroblock level and image level. At the end of the...
This paper presents a novel algorithm that aims at minimizing the required decoding energy by exploiting a general energy model for HEVC-decoder solutions. We incorporate the energy model into the HEVC encoder such that it is capable of constructing a bit stream whose decoding process consumes less energy than the decoding process of a conventional bit stream. To achieve this, we propose to extend...
Big data storage demands larger cluster. The increasing size of the cluster may lead to failures of larger number of nodes. To provide reliable big data storage, replications are not cost-effective and does not provide a robust solution to prevent data loss. Traditional erasure codes applied in the RAID system such as Reed-Solomon (R-S) based solutions have limitations in providing high reliability...
This paper presents our research in developing high performance but low complexity MIMO decoders for the newest WLAN, i.e. 802.11ac. K-best and Trellis methods are proposed to develop the MIMO decoders. Their performances are observed and compared to MIMO decoders which are based on linear and optimal methods, i.e. ZF, MMSE, and ML. Run test of 2×2 MEMO, 64-QAM, Coding rate 3/4, and 40MHz of bandwidth...
Error-Control Coding (ECC) now plays an important role in wireless transceivers because it helps to increase link reliability and lower required transmit power. One popular problem of ECC implementation is the trade-off between high coding-gain and decoder's complexity. In this paper, we propose a serial concatenated ECC solution which is a combination of truncated-iteration layered-decoding LDPC...
Video streaming applications are increasingly popular but suffer from quality variations in best effort transmission networks. The recent DASH standard allows to dynamically adapt the transmitted rate to the network conditions under the control of the receiving client to achieve the best user experience. Naturally, the final video quality is also critically determined by the compression efficiency...
In this paper, we dedicate to fighting against the multiple carrier frequency offsets (MCFOs) in two-relay decode-and-forward (DF) cooperative networks. A full-rate code named frequency reversal Alamouti code (FRAC) is designed for two-relay cooperative orthogonal frequency-division multiplexing (OFDM) networks. Reversal makes the equivalent channel matrix between the relays and the destination complex...
The high quality and low delay video streaming is desired for all users. Especially the playback delay is much more undesirable since it is easily perceived by human eyes, and it consists of decoding delay and transfer delay. In this paper we use High Efficiency Video Coding (HEVC) with tiles to achieve parallel encoding/transmission/decoding, and propose to use a novel adaptive tile boundary (ATB)...
The latest High Efficiency Video Coding (HEVC) standard significantly improves coding efficiency over H.264/AVC, at the cost of heavy encoding and decoding complexity. For reducing HEVC decoding complexity to a target, we propose in this paper a Subjective-Quality-Optimized Complexity Control (SQOCC) approach, which optimizes subjective quality loss caused by the decoding complexity reduction. First,...
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