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Increasing soft error rate and decreasing technological nodes sizes pave a way for Error Correcting Codes (ECC) widespread use in embedded systems. Depending on application safety goals and acceptable performance and area overhead, different codes can be selected. The goal of this paper is to investigate the efficiency and expediency of two of the most prominent ECC codes, Hamming and Hsiao, in the...
Stochastic turbo decoder is a new scheme for turbo codes. But the long decoding latency and high complexity are two main challenges for fully parallel stochastic turbo decoders. In this paper, we proposed a novel stochastic turbo decoder scheme with two high accuracy stochastic operator modules, including no-scaling stochastic addition and stochastic normalization operator, which can improve the decoding...
In this work, we show that polar belief propagation (BP) decoding exhibits an error floor behavior which is caused by clipping of the log-likelihood ratios (LLR). The error floor becomes more pronounced for clipping to smaller LLR-values. We introduce a single-value measure quantifying a “relative error floor”, showing, by exhaustive simulations for different lengths, that the error floor is mainly...
Spatially coupled low-density parity-check (SC-LDPC) codes are often thought as codes with very long block lengths. However, they can be decoded through sliding window (SW) decoders achieving near-optimal performance when the window size is a few times larger than the code syndrome former constraint length. This makes SC-LDPC codes with short constraint length suitable for low-latency transmissions,...
In this paper, iterative decoding using Belief Propagation λ-min decoding algorithm is considered. In this algorithm check nodes use only the λ lowest-magnitude messages thus simplifying the hardware complexity and reducing memory usage. A parallel-input architecture is proposed for the check node. We focus on the determination of the sought minima in a parallel fashion. Novel simplified circuits...
Weight distribution of code is very important for error correction in the use of Turbo coding program in optical fiber communication. Input sequence need to pass convolutional encoder, Therefore, it is necessary that the weight of the output should be kept as large as possible. Although the interleaver can help to improve the output code weight, the higher the complexity of interleaving, the iterative...
In order to improve the error resistance and security of JPEG2000 standard, a joint source channel and security arithmetic coding/decoding scheme for EBCOT in JPEG2000 is proposed. Based on error resistant arithmetic coding, this scheme inserts multiple forbidden symbols and generates secure two-way decodable bitstream controlled by chaotic maps, improving the security of the scheme. Meanwhile, at...
In this paper, we studied the irregular row weight problem of DVB-S2 LDPC short frame. This problem will cause the failure of decoding. Based on a special structure of check matrix address table, we have achieved a simple and common solution to the problem.
LDPC still receives extensive attention in the field of channel coding because of its superior error correction performance, high throughput and low decoding complexity. Considering the poor adaptability and limited expansibility of traditional LDPC decoder, a design method of LLR-BP decoder based on adaptive code length is proposed. A partial parallel LDPC decoder structure is designed under the...
This paper revisits the recently proposed adaptive pairwise reversible watermarking scheme of IEEE Trans. on Image Processing 2016 and investigates a different pairing that favors the grouping in the horizontal direction. The horizontal grouping imposes a new prediction scheme, a different complexity measure, a new pixel selection procedure and several other adjustments. For some test images, the...
Pilots' fatigue status could influence aviation safety. The recognition of fatigue status of pilots is of utmost significance. We proposed a new deep learning model via analyzing electroencephalogram signals to reduce the complexity of feature extraction and improve the accuracy of recognition of fatigue status of pilots. We firstly applied wavelet packet transform to decompose electroencephalogram...
Low-density parity-check convolutional codes (LDPC-CC) have interesting error correction features. They have a great potential to become a key error-correcting codes for enhancing reliability of modern digital communication systems, optical systems and storage devices. On the implementation side, however, the design of low-cost low-power and high-throughput LDPC-CC decoders remains challenging. This...
This paper proposes a modified IMWBF decoding algorithm for low-density parity-check (LDPC) codes. In the proposed modification, the magnitude of the received signal is updated when the number of the unsatisfied parity-check equations participated by this received signal is larger than a predetermined threshold. Through this modification, the outlier, defined as the undesired large-magnitude received...
Channel Coding for the 5G wireless networks is facing novel challenges to endorse innumerable emerging use cases and applications with miscellaneous performance aspects. With respect to existing state of art codes; 5G channel Codes have diverse requirements of code lengths and rates, as well as throughput, latency and decoding complexity. Therefore, Turbo codes and LDPC codes that played key enablers...
Soft-input soft-output (SISO) sphere decoding is applied to multiple-input multi-output (MIMO) systems to offer good bit error rate (BER) performance but at high complexity. To reduce this computational complexity, we propose a novel hybrid enumeration strategy for such decoding that dynamically determines the candidate list; moreover, this strategy uses a new node enumeration based on concentric...
Differential spatial modulation (DSM) is a novel attractive alternative technique for coherent spatial modulation (CSM) without channel state information (CSI) at the receiver. In this paper, iterative detection is firstly employed to improve the performance of DSM schemes. With the Hamming distance of two matrices reduced to the sum of simple elements, a lowcomplexity iterative detection scheme for...
The multiple-input multiple-output (MIMO) technology can make full use of spectrum and increase the communication throughput. In the coded MIMO system, the main challenge of soft detection is to efficiently generate the loglikelihood ratios (LLR) values for channel decoder. The exact maximum a posteriori (MAP) probability detection can guarantee the optimal performance, but its realization is difficult...
Fountain codes are used in many applications where the channels are time varying and it is difficult at the transmitter to predict the appropriate code rate. In this situation, fixedrate codes are not suitable. Despite the good performance of fountain codes, universally optimal codes do not exist in the finite-length regime. In this paper, we design new fountain codes that are robust to the communication...
This paper addresses the problem of Approximate Nearest Neighbor (ANN) search in pattern recognition where feature vectors in a database are encoded as compact codes in order to speed-up the similarity search in large-scale databases. Considering the ANN problem from an information-theoretic perspective, we interpret it as an encoding, which maps the original feature vectors to a less entropic sparse...
A concatenated soft-decision channel coding scheme consisting of an inner LDGM code and an outer staircase code is proposed. The soft-decision LDGM code is used for error reduction while the majority of bit errors are corrected by the low complexity hard-decision staircase code. Decoding complexity of the concatenated code is quantified by a score based on the number of edges in the LDGM code Tanner...
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