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It has been widely observed that there exists a fundamental trade-off between the minimum (Hamming) distance properties and the iterative decoding convergence behavior of turbo-like codes. While capacity achieving code ensembles typically…

In this paper, we study a class of spatially coupled turbo codes, namely partially information- and partially parity-coupled turbo codes. This class of codes enjoy several advantages such as flexible code rate adjustment by varying the…

Information Theory · Computer Science 2020-12-25 Min Qiu , Xiaowei Wu , Alexandre Graell i Amat , Jinhong Yuan

Neural network-based decoding methods show promise in enhancing error correction performance but face challenges with punctured codes. In particular, existing methods struggle to adapt to variable code rates or meet protocol compatibility…

Machine Learning · Computer Science 2025-10-31 Yongli Yan , Linglong Dai

A telecommunication system uses carriers in order to transmit information through a cable or wirelessly. If each time only one carrier is transmitted, then the system s signal will not be immune to frequency selective fading. If frequency…

Signal Processing · Electrical Eng. & Systems 2018-07-10 Spyridon K. Chronopoulos , Vasilis Christofilakis , Giorgos Tatsis , Panos Kostarakis

Polar codes have received growing attention in the past decade and have been selected as the coding scheme for the control channel in the fifth generation (5G) wireless communication systems. However, the conventional polar codes have only…

Information Theory · Computer Science 2023-01-26 Hossein Rezaei , Nandana Rajatheva , Matti Latva-aho

The generation of Register-Transfer Level (RTL) code is a crucial yet labor-intensive step in digital hardware design, traditionally requiring engineers to manually translate complex specifications into thousands of lines of synthesizable…

Machine Learning · Computer Science 2026-02-03 Hanqi Lyu , Di Huang , Yaoyu Zhu , Kangcheng Liu , Bohan Dou , Chongxiao Li , Pengwei Jin , Shuyao Cheng , Rui Zhang , Zidong Du , Qi Guo , Xing Hu , Yunji Chen

In this paper, we investigate in detail the performance of turbo codes in quasi-static fading channels both with and without antenna diversity. First, we develop a simple and accurate analytic technique to evaluate the performance of turbo…

Information Theory · Computer Science 2016-11-17 M. R. D. Rodrigues , I. Chatzigeorgiou , I. J. Wassell , R. Carrasco

Parameter recovering of channel codes is important in applications such as cognitive radio. The main task for that of a turbo code is to recover the interleaver. The existing optimal algorithm recovers interleaver parameters incrementally…

Information Theory · Computer Science 2016-05-18 Peidong Yu , Hua Peng , Jing Li

Recent advancements in large language models (LLMs) have shown significant potential for automating hardware description language (HDL) code generation from high-level natural language instructions. While fine-tuning has improved LLMs'…

Hardware Architecture · Computer Science 2025-02-27 Yi Liu , Changran Xu , Yunhao Zhou , Zeju Li , Qiang Xu

In this paper, we propose a linear representation of BCJR maximum a posteriori probability (MAP) decoding of a rate 1/2 convolutional code (CC), referred to as the linear MAP decoding (LMAP). We discover that the MAP forward and backward…

Information Theory · Computer Science 2025-04-22 Yonghui Li , Chentao Yue , Branka Vucetic

In this paper we present a new Turbo analog error correcting coding scheme for real valued signals that are corrupted by impulsive noise. This Turbo code improves Donoho's deterministic construction by using a probabilistic approach. More…

Information Theory · Computer Science 2009-12-23 Avi Zanko , Amir Leshem , Ephraim Zehavi

Many research works have been performed on implementation of Vitrerbi decoding algorithm on GPU instead of FPGA because this platform provides considerable flexibility in addition to great performance. Recently, the recently-introduced…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-11-30 Alireza Mohammadidoost , Matin Hashemi

One of the primary areas of interest in High Performance Computing is the improvement of performance of parallel workloads. Nowadays, compilable source code-based optimization tasks that employ deep learning often exploit LLVM Intermediate…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-03 Akash Dutta , Ali Jannesari

This paper investigates a turbo receiver employing a variational quantum circuit (VQC). The VQC is configured with an ansatz of the quantum approximate optimization algorithm (QAOA). We propose a 'learning to learn' (L2L) framework to…

Signal Processing · Electrical Eng. & Systems 2022-05-19 Bryan Liu , Toshiaki Koike-Akino , Ye Wang , Kieran Parsons

Modern Hardware Description Languages (HDLs) such as SystemVerilog or VHDL are, due to their sheer complexity, insufficient to transport designs through modern circuit design flows. Instead, each design automation tool lowers HDLs to its…

Programming Languages · Computer Science 2020-04-08 Fabian Schuiki , Andreas Kurth , Tobias Grosser , Luca Benini

In this paper, a distributed turbo-like coding scheme for wireless networks with relays is proposed. We consider a scenario where multiple sources communicate with a single destination with the help of a relay. The proposed scheme can be…

Information Theory · Computer Science 2009-10-13 Roua Youssef , Alexandre Graell i Amat

In this letter we present a new construction of interleavers for turbo codes from 3-regular Hamiltonian graphs. The interleavers can be generated using a few parameters, which can be selected in such a way that the girth of the interleaver…

Information Theory · Computer Science 2014-11-17 Arya Mazumdar , A K Chaturvedi , Adrish Banerjee

A critical aspect of reliable communication involves the design of codes that allow transmissions to be robustly and computationally efficiently decoded under noisy conditions. Advances in the design of reliable codes have been driven by…

Information Theory · Computer Science 2021-11-23 Karl Chahine , Yihan Jiang , Pooja Nuti , Hyeji Kim , Joonyoung Cho

Vision-Language Large Models (VLMs) recently become primary backbone of AI, due to the impressive performance. However, their expensive computation costs, i.e., throughput and delay, impede potentials in the real-world scenarios. To achieve…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Chen Ju , Haicheng Wang , Haozhe Cheng , Xu Chen , Zhonghua Zhai , Weilin Huang , Jinsong Lan , Shuai Xiao , Bo Zheng

Recently, the use of large language models (LLMs) for software code generation, e.g., C/C++ and Python, has proven a great success. However, LLMs still suffer from low syntactic and functional correctness when it comes to the generation of…

Hardware Architecture · Computer Science 2024-07-29 Mingzhe Gao , Jieru Zhao , Zhe Lin , Wenchao Ding , Xiaofeng Hou , Yu Feng , Chao Li , Minyi Guo