Convolutional codes represent a cornerstone in modern communications, offering a method for continuously encoding data streams to mitigate errors due to interference and noise. These codes operate by ...
Abstract: Viterbi's algorithm for decoding of Convolutional codes is based on the principle of maximum likelihood detection and the final path in the Trellis depends on the survivors at each level ...
Abstract: In this paper, we propose a novel method to construct low rate recursive convolutional codes. The 'overall' convolutional code has a block code and a simple recursive convolutional code as ...
A new publication from Opto-Electronic Advances, 10.29026/oea.2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional ...
Note: The restoration kernels include SCN [1], SRSC [2], SRCNN [3], VDSR [4] and FSRCNN [5]. The non-blind deblur code is by Pan et al. [6]. Please cite our paper if you use this code, thank you!
Jin Ye, Jingran Wang, Fengchao Xiong, Jun Zhou, and Yuntao Qian, ["Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising"] TGRS 2025 Abstract: Hyperspectral images (HSIs) play ...