Article
Engineering, Electrical & Electronic
Haiwen Cao, Pascal O. Vontobel
Summary: This paper focuses on improving the performance of SPARCs over complex AWGN channels through concatenated coding and introduces a novel class of design matrices that provide more flexibility in designing SPARCs for different applications. The simulation results demonstrate the effectiveness of the concatenated coding scheme and the close performance of the new design matrices compared to commonly-used DFT matrices.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Yihan Zhang, Shashank Vatedka
Summary: We study the list decodability of different ensembles of codes over the real alphabet under the assumption of an omniscient adversary. We show a reduction from arbitrary codes to spherical codes and derive bounds on the list size of random spherical codes and nested Construction-A lattices. We also define and study a class of infinite constellations and prove upper and lower bounds for the same. Finally, we consider random lattices sampled from the Haar distribution.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2022)
Article
Engineering, Electrical & Electronic
Peng Wang, Yonghui Li, Zihuai Lin, Mahyar Shirvanimoghaddam, Ok-Sun Park, Giyoon Park, Branka Vucetic
Summary: In this paper, the maximum likelihood (ML) decoding performance of the RMA scheme in an AWGN channel with BPSK modulation is investigated. For the first time, the ensemble weight distribution of the RMA scheme is derived. An upper bound on the decoding error performance of the RMA scheme under ML decoding in an AWGN channel with BPSK modulation is also derived. The continuous genetic algorithm is then used to optimize the parameters of the RMA scheme, with simulation results showing the tightness of the derived bound and the superiority of the optimized degree distribution.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Kenneth S. Palacio-Baus, Natasha Devroye
Summary: This study explores achievable error exponents for the transmission of a finite number of messages M under both one-way noisy feedback and two-way AWGN channels. Achievable error exponent regions are defined and a new active feedback scheme is proposed under almost sure and expected block power constraints. Feedback or interaction leads to error exponent gains in one direction, possibly at the expense of a decrease in the error exponents attained in the other direction.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2021)
Article
Computer Science, Information Systems
Cynthia Rush, Kuan Hsieh, Ramji Venkataramanan
Summary: Sparse superposition codes, also known as sparse regression codes, are efficient for communication over the AWGN channel at rates approaching channel capacity. By utilizing the spatially coupled structure and AMP decoding, these codes can achieve channel capacity. Numerical simulations show that spatially coupled SPARCs perform well in finite lengths and outperform LDPC codes in terms of error performance.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2021)
Article
Telecommunications
Meilin He, Haiquan Wang, Zhirui Hu, Peng Pan
Summary: Analytic expressions for decoding thresholds of regular and irregular LDPC codes over the BEC are provided, along with low-complexity methods for determining these thresholds. By establishing a fixed-point equation and introducing an auxiliary equation, the threshold can be solved analytically as a function of solutions of a polynomial equation. Numerical results show that this method is more accurate and has lower complexity compared to conventional DE methods, and it does not require computing the inverse of degree distribution function for irregular LDPC codes.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Aimin Li, Shaohua Wu, Jian Jiao, Ning Zhang, Qinyu Zhang
Summary: By conducting performance analysis and proposing an improved encoding structure for Spinal codes, the reliability and anti-noise performance over the Rayleigh fading channel can be significantly enhanced.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Farhad Mirkarimi, Stefano Rini, Nariman Farsad
Summary: Recently, deep neural networks have been used to estimate the mutual information from sample data, a method known as Neural Mutual Information Estimation (NMIE). NMIEs are different from other approaches as they are data-driven estimators, thus they have the potential to perform well on a wide range of capacity problems. This paper aims to establish a benchmark for testing the performance of various NMIEs across different challenges of capacity estimation. The benchmark includes scenarios such as the classic AWGN channel, channels with continuous inputs and discrete outputs, and the extension to multi-terminal cases. The results show that the Mutual Information Neural Estimator (MINE) provides the most reliable performance.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Irina E. Bocharova, Boris D. Kudryashov, Evgenii P. Ovsyannikov, Vitaly Skachek
Summary: This study focuses on the properties of nonbinary low-density parity-check (NB LDPC) codes in coded modulation systems. Specifically, it examines the performance of NB LDPC codes over the Galois extension fields GF(2(m)) with m = 6 used with QAM signaling. The paper analyzes the impact of symbol-to-signal point mappings on the performance of NB LDPC coded transmission and presents simulation results for belief-propagation decoding in coded modulation schemes with NB quasi-cyclic (QC)-LDPC codes. Comparisons are made with optimized binary QC-LDPC codes in WiFi and 5G standards as well as a new bound.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2023)
Article
Engineering, Electrical & Electronic
Ralf R. Mueller
Summary: This paper introduces a method to calculate the exact average block error probability of random code ensembles under maximum-likelihood decoding, focusing on various channels and ensembles. It analyzes the lower bounds on average block error probability for different channels and ensembles, providing tight approximations to simplify computation.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Ryo Shibata, Hiroyuki Yashima
Summary: This paper proposes a novel coding scheme based on non-binary LDPC codes and symbol-wise detection to address the problem of unsatisfactory finite-length performance of previous schemes. The proposed scheme leverages the special property of racetrack memory to avoid generating cycles between the detector and decoder graphs, leading to improved finite-length performance and fast convergence.
IEEE TRANSACTIONS ON MAGNETICS
(2023)
Article
Engineering, Electrical & Electronic
Yiwei Tao, Yi Fang, Huan Ma, Shahid Mumtaz, Mohsen Guizani
Summary: A multi-carrier differential chaos shift keying communication system with hybrid index modulation is proposed to boost the transmission efficiency in wireless communication systems. The system utilizes a pair of orthogonal signals to represent active and inactive subcarriers, allowing for the transmission of information bits using all subcarriers. The theoretical analysis and Monte-Carlo simulations verify the superiority of the proposed system.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Mikhail Kamenev
Summary: In this paper, a novel iterative decoding algorithm for Reed-Muller (RM) codes is presented, which utilizes a graph representation of the code. The algorithm uses a greedy local search to find a node optimizing a metric and incorporates a cyclic redundancy check to improve the computational complexity. Simulation results show that the presented decoder achieves performance close to maximum likelihood decoding for RM codes and outperforms state-of-the-art decoding algorithms for a wide range of block lengths and rates.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Computer Science, Theory & Methods
Brice Colombier, Vlad-Florin Dragoi, Pierre-Louis Cayrel, Vincent Grosso
Summary: The NIST standardization process for post-quantum cryptography has attracted researchers' attention. This article proposes a message-recovery attack that relies solely on side-channel information. By using machine learning techniques and a simple dot product algorithm, improvements are made on previous work.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2022)
Article
Computer Science, Information Systems
Mikhail Kamenev
Summary: This paper introduces a recursive list decoding method for Reed-Muller (RM) codes, which splits the original code into two shorter RM codes with different rates using the Plotkin construction. By decoding the higher-rate code first, an efficient permutation-based decoding technique is enabled, with permutations selected from the automorphism group of the code using soft information from a channel. Simulation results show that the proposed algorithms achieve error-rate performance close to that of the automorphism-based recursive decoding algorithm, with better performance for longer RM codes.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2023)
Article
Mathematics, Interdisciplinary Applications
Lidong Liu, Jinfeng Hu, Huiyong Li, Jun Li, Zishu He, Chunlin Han
DISCRETE DYNAMICS IN NATURE AND SOCIETY
(2011)
Article
Instruments & Instrumentation
Lidong Liu, Jifeng Hu, Zishu He, Chunlin Han, Huiyong Li, Jun Li
METROLOGY AND MEASUREMENT SYSTEMS
(2011)
Article
Engineering, Electrical & Electronic
Lidong Liu, Jinfeng Hu, Zishu He, Chunlin Han, Huiyong Li, Jun Li
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
(2011)
Article
Engineering, Electrical & Electronic
Lidong Liu, Yi Li, Zhaolun Zhang, Huansheng Song, Zhao Jin
ELECTRONICS LETTERS
(2018)
Article
Engineering, Electrical & Electronic
Lidong Liu, Yanan Wang, Yi Li, Xiaoran Feng, Huansheng Song, Zhili He, Chen Guo
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2019)
Article
Computer Science, Artificial Intelligence
Donghua Jiang, Lidong Liu, Xingyuan Wang, Xianwei Rong
Summary: The newly designed two-dimensional chaotic system has a larger chaotic range, better ergodicity, and more complex chaotic behavior than advanced two-dimensional chaotic systems. It is utilized to propose a visually meaningful image cryptosystem combined with singular value decomposition and Bernstein polynomial, achieving double security for image information and appearance. The system shows higher encryption efficiency and improved visual quality of steganography image.
IET IMAGE PROCESSING
(2021)
Article
Geochemistry & Geophysics
Guiping Wu, Lidong Liu, Zixiang Liu, Yao Liu, Tao Gao
Summary: Object detection in remote sensing images is challenging due to the diverse object scales, fuzzy objects, and complex background. In this letter, we propose TCNet, a network that incorporates generalized mean spatial pyramid pooling, cross-scale guided enhancement network, and task alignment interactive head to overcome these challenges and improve detection accuracy. Experiments on public datasets demonstrate the effectiveness of our approach and its superior performance compared to other state-of-the-art detectors.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Computer Science, Information Systems
Wei Huang, Donghua Jiang, Yisheng An, Lidong Liu, Xingyuan Wang
Summary: This paper proposes a novel double-image compression-encryption algorithm by combining Rossler hyperchaos and compressive sensing. The encrypted images are generated through various encryption methods, achieving high transmission efficiency and ensuring decryption quality.
Article
Computer Science, Information Systems
Liu Lidong, Donghua Jiang, Xingyuan Wang, Linlin Zhang, Xianwei Rong
Article
Computer Science, Information Systems
Lidong Liu, Donghua Jiang, Tingyu An, Yifan Guan
Article
Computer Science, Information Systems
Lidong Liu, Yuhang Lei, Dan Wang
Article
Computer Science, Information Systems
Lidong Liu, Linlin Zhang, Donghua Jiang, Yifan Guan, Zhaolun Zhang
Article
Computer Science, Information Systems
Lidong Liu, Zhaolun Zhang, Ruijie Chen
Article
Computer Science, Information Systems
Lidong Liu, Dan Wang, Yuhang Lei
