Results 11 to 20 of about 2,545,040 (230)
Coding theorems for turbo code ensembles [PDF]
IEEE Transactions on Information Theory, 2002 This paper is devoted to a Shannon-theoretic study of turbo codes. We prove that ensembles of parallel and serial turbo codes are "good" in the following sense. For a turbo code ensemble defined by a fixed set of component codes (subject only to mild necessary restrictions), there exists a positive number /spl gamma//sub 0/ such that for any binary ...
Jin, Hui, McEliece, Robert J.
semanticscholar +9 more sources
Near Capacity Irregular Turbo Code [PDF]
arXiv.org, 2016 The purpose of this study is to construct a near capacity Irregular Turbo Code and to evaluate its performance over Gaussian channel. The methodology used to evaluate and measure the performance of the new design is by simulating the system by developing a software platform using Matlab.
Abiodun O. Sholiyi +4 more
arxiv +3 more sources
Entanglement-assisted quantum turbo codes [PDF]
IEEE Transactions on Information Theory vol. 60, no. 2, pages
1203-1222 (February 2014), 2010 An unexpected breakdown in the existing theory of quantum serial turbo coding is that a quantum convolutional encoder cannot simultaneously be recursive and non-catastrophic. These properties are essential for quantum turbo code families to have a minimum distance growing with blocklength and for their iterative decoding algorithm to converge ...
Babar, Zunaira +2 more
arxiv +5 more sources
EXIT-Chart-Aided Near-Capacity Quantum Turbo Code Design [PDF]
IEEE Transactions on Vehicular Technology, 2015 High detection complexity is the main impediment in future gigabit-wireless systems. However, a quantum-based detector is capable of simultaneously detecting hundreds of user signals by virtue of its inherent parallel nature. This, in turn, requires near-
Zunaira Babar, S. Ng, L. Hanzo
semanticscholar +4 more sources
Information-Coupled Turbo Codes for LTE Systems [PDF]
arXiv, 2017 We propose a new class of information-coupled (IC) Turbo codes to improve the transport block (TB) error rate performance for long-term evolution (LTE) systems, while keeping the hybrid automatic repeat request protocol and the Turbo decoder for each code block (CB) unchanged.
Cheng, Xingqing +5 more
arxiv +3 more sources
Using an LLM to Help with Code Understanding [PDF]
International Conference on Software Engineering, 2023 Understanding code is challenging, especially when working in new and complex development environments. Code comments and documentation can help, but are typically scarce or hard to navigate.
Daye Nam +4 more
semanticscholar +1 more source
VeriGen: A Large Language Model for Verilog Code Generation [PDF]
ACM Trans. Design Autom. Electr. Syst., 2023 In this study, we explore the capability of Large Language Models (LLMs) to automate hardware design by automatically completing partial Verilog code, a common language for designing and modeling digital systems. We fine-tune pre-existing LLMs on Verilog
Shailja Thakur +6 more
semanticscholar +1 more source
Structured Chain-of-Thought Prompting for Code Generation [PDF]
ACM Transactions on Software Engineering and Methodology, 2023 Large Language Models (LLMs) have shown impressive abilities in code generation. Chain-of-Thought (CoT) prompting is the state-of-the-art approach to utilizing LLMs. CoT prompting asks LLMs first to generate CoTs ( i.e., intermediate natural language
Jia Li♂, Ge Li, Yongming Li, Zhi Jin
semanticscholar +1 more source
Electronics, 2020 This paper proposes, for the first time, a two-source asymmetric turbo-coded-cooperative spatial modulation (SM) scheme over the slow Rayleigh fading channel. As in any coded cooperative communication, the interleaver plays a vital role in mitigating the
Chunli Zhao +3 more
semanticscholar +1 more source
Nested turbo codes for the costa problem [PDF]
, 2008 Driven by applications in data-hiding, MIMO broadcast channel coding, precoding for interference cancellation, and transmitter cooperation in wireless networks, Costa coding has lately become a very active research area.
Cheng, Samuel +5 more
core +1 more source