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We assume that the states of an unstable dynamical system are encoded and sent to an estimator through an uncertain channel, which is a channel disturbing its inputs in a nonstochastic manner. The encoder's codeword is also fed into another uncertain channel, at whose output an eavesdropper is listening. The estimator should obtain a uniformly bounded system state estimation error, whereas the eavesdropper's...
Low probability of detection (LPD) communication refers to reliable transmission of information that is difficult to detect by an unauthorised adversary. This paper studies LPD communication over parallel Gaussian channels, which are used to model a variety of communication scenarios. First a lower bound on the miss detection probability is derived assuming the adversary employs Neyman-Pearson hypothesis...
In this paper, we demonstrate the performance of low complexity soft interference cancellation minimum mean-squared error (SIC-MMSE) detection method for a turbo coded multiple-input multiple-output (MIMO) system with joint iterative detection and decoding (JIDD) principle. The main computational burden of SIC-MMSE detector lies in the multiple inverse operation of the filtering process and maximum...
Speech signal processing is being increasingly explored in health domains given both its centrality as a behavioral cue and the promise of robust, automated analysis of data at scale. We discuss general issues in health-related speech research. We further highlight two health applications we have undertaken: addiction counseling and autism spectrum disorder. Methods range from deep supervised learning...
Providing a high level of information reliability is one of the most important problems of digital data transmission systems synthesis for various applications. The paper suggests the theoretical foundations of communication channel model based on a code signal feature (CSF). The encoding and decoding algorithms using CSF models are proposed that allows one to increase the information reliability...
In this paper, we propose a new improved algorithm to reduce the decoding complexity of NB-LDPC codes especially when the number of iteration is large. The proposed algorithm is based on the extended min-sum (EMS) which truncates the message vectors and trellis-based EMS (T-EMS) which employs the trellis representation. Our modification of EMS introduces the thresholds to further truncate the incoming...
A novel self-normalized weighted bit-flipping (SNWBF) decoding algorithm for low-density parity-check (LDPC) codes is proposed. Compared to the best known weighted bit-flipping decoding, the SNWBF algorithm converges significantly faster but with little performance penalty. For decoding of LDPC codes, the proposed SNWBF algorithm considers not only the reliability of the neighboring check nodes, but...
Gradient descent bit-flipping (GDBF) decoding for low-density parity-check (LDPC) codes has gained great attentions because of low complexity and relatively good performance. However, the performance of the GDBF decoding is still much poorer than that of the MS algorithm. To further improve the performance, the iterative decoding process is introduced to GDBF decoding in this paper. At the end of...
Check node processing dominates the complexity of nonbinary LDPC decoding. Trellis based min-max algorithm[1] can reduce the computation complexity and generate the message from check node to variable node in parallel. In this paper, power representation is used to implement check node processor, adder structures over GF(q) using power representation in trellis based check node processing are proposed...
In this paper, we proposed a secure communication scheme based on Reliability-Based Hybrid Automatic Repeat reQuest (RB-HARQ) protocol over the additive white Gaussian noise (AWGN) wiretap channel. RB-HARQ protocol aims at retransmitting the unreliable bits required for the authorized user's (Bob) successfully decoding and minimizing the information leakage that may benefit to eavesdropper (Eve)....
The systematic polar codes under successive cancellation list (SCL) decoding suffers from very high time and space complexity when list size becomes larger. Aimed at getting the tradeoff between error performance and algorithm complexity, a practical CRCs-ADSCL(Adaptive SCL) decoding scheme is proposed for systematic polar codes, in which CRC values will be held by the bit-pair arrays in the decoding...
it is known that the more reliable LDPC code is the longer code, and it is also known that LDPC decoders with flooded architecture which allow parallel processing can achieve high throughputs. But, just architectures become very complex and require more hardware resources when the code length is large and random, so achieving a high error correction rate on short code lengths is considered a challenge...
We consider a communication scenario in which the channel undergoes two different classes of attacks at the same time: a passive eavesdropper and an active jammer. This scenario is modeled by the concept of arbitrarily varying wiretap channels (AVWCs), in which the channel varies from one channel use to the other in an unknown and arbitrary manner. It has been shown that uncorrelated codes fail to...
This paper exposes a new decoder for linear bloc codes. The proposed decoder is based on the resolution of the parity equations system. Elsewhere, to reduce its complexity we have developed a criteria for early terminating the decoding, on the one hand. On the other hand, we introduced a fast method for generating test error patterns. Our decoder is suitable for linear bloc code of medium and high...
The compact genetic algorithm cGA is used in this paper to design an efficient soft-decision decoding algorithm, especially for the cyclic codes, because the cGA dramatically reduces the population's size and rapidly converges to the optimal solution compared to classical genetic algorithms. Our main contribution is to exploit the cyclic property of cyclic linear codes to reduce the complexity of...
In this paper we present a genetic algorithm to design good linear codes with large minimum weight and small dual minimum distance. These two metrics are evaluated by the Multiple Impulse Method (MIM). The existence of some codewords of small weights in the dual of the code designed by our genetic algorithm yield to good performances in terms of the Bit Error Rate (BER) when a decoder based on majority...
This paper introduces a novel post-processing algorithm for low-density parity-check (LDPC) codes adequate for NAND flash memory, to improve error correction capability of a soft decision decoding by reducing strong error effects in an efficient way. In this algorithm, it can detect variable nodes of strong errors using incoming check-to-variable (c2v) messages and reduce magnitude of channel reliability...
As the flash memory continues its capacity scaling and correspondingly decreases its reliability, a technology upgrade regarding the error-correction engine in state-of-art solid-state drives (SSDs) is intensely expected. Due to their limit-approaching decoding ability, low-density parity-check (LDPC) codes are seen as one of the most promising substitute for the traditional BCH codes, though implementation...
In this paper, the turbo principle is applied to the existing least symbols error rate(LSER) decision feedback equalization(DFE) for underwater channel. The performance of the DFE adaptive algorithms are aided by soft information delivered from the channel decoder. We introduce a variable step size scheme that takes soft information into account to get the more suitable step size which can reduce...
Underwater acoustic sensor networks (UASNs) are widely used in many application. However, the underwater acoustic channel poses many challenges for reliable data transmission protocol design. In this paper, we propose a new data transmission protocol based on Fountain codes and Selective-repeat ARQ scheme (FSR-ARQ). The new approach utilizes the packet error correction ability of rateless code and...
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