Chao Li^1,3,#, Chen Wang^1,3,#, Caichang Ding^2,*, Yonghao Liao^1,3, Zhiwei Ye^1,3

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3129-3149, 2025, DOI:10.32604/cmc.2025.067440 - 23 September 2025

Abstract Deep learning-based semantic communication has achieved remarkable progress with CNNs and Transformers. However, CNNs exhibit constrained performance in high-resolution image transmission, while Transformers incur high computational cost due to quadratic complexity. Recently, VMamba, a novel state space model with linear complexity and exceptional long-range dependency modeling capabilities, has shown great potential in computer vision tasks. Inspired by this, we propose MNTSCC, an efficient VMamba-based nonlinear joint source-channel coding (JSCC) model for wireless image transmission. Specifically, MNTSCC comprises a VMamba-based nonlinear transform module, an MCAM entropy model, and a JSCC module. In the encoding stage, the… More >

Yifeng Lin^1,2,#, Yuer Yang^1,2,3,#, Jianxiang Xie⁴, Tong Ji⁵, Peiya Li^2,*

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2865-2882, 2025, DOI:10.32604/cmc.2025.065362 - 03 July 2025

Abstract Semantic secure communication is an emerging field that combines the principles of source-channel coding with the need for secure data transmission. It is of great significance in modern communications to protect the confidentiality and privacy of sensitive information and prevent information leaks and malicious attacks. This paper presents a novel approach to semantic secure communication through the utilization of joint source-channel coding, which is based on the design of an automated joint source-channel coding algorithm and an encryption and decryption algorithm based on semantic security. The traditional and state-of-the-art joint source-channel coding algorithms are selected More >

Xiaojun Chen^*, Yunxiao Zu

Journal of Information Hiding and Privacy Protection, Vol.3, No.3, pp. 101-107, 2021, DOI:10.32604/jihpp.2021.025225 - 07 February 2022

Abstract This paper focuses on the forward error correction (FEC), the basic parameters determination of the RS convolution code, Turbo code and the LDPC code, and the corresponding encoding and decoding algorithm in power line communication (PLC) standard. Simulation experiment which is designed for narrow-band power line communication system based on OFDM is done. The coding using RS convolution code, Turbo code and LDPC code are compared, and further it is determined that which encoding method is more suitable for power line communication in China. More >