Webb21 juni 2024 · Depth distribution algorithm is a new feature of linear codes first studied by Etzion [] from the perspective of cryptography, and a new method of equivalent linear codes—a deep equivalence class was also proposed at the same time.In [], the authors proposed a blind parameter estimation of linear block codes based on a depth … Webb28 juni 2009 · An algorithm to recover the convolutional code which has produced a observed noisy binary sequence is presented, which makes use of previously unpublished structural properties of Convolutional codes that allow it to improve on previously known techniques. In this work, we present an algorithm to recover the convolutional code …
Reconstruction of convolutional codes from noisy observation
WebbCode classification and code parameter estimation tech-niques for different FEC codes over non-erroneous scenario were studied in [1] with greater details. The blind recognition of convolutional code parameters over noisy transmission environment was reported in [2]. Further, the blind recognition Webb31 okt. 2014 · In this work, a perception of a smart receiver able to blindly estimate a specific transmission context based on an intercepted stream is proposed. In particular, a new technique addressing the blind recognition of low-density parity-check (LDPC), convolutional, and turbo codes' encoding parameters at the receiver is introduced. houghton carts
(PDF) An Improved Blind Recognition Method for ... - ResearchGate
Webb10 dec. 2015 · A novel recognition algorithm (called iterative screening, IS) for LDPC codes of blind is proposed to solve the problem that the parity-check matrix of Channel Coding is hard to reconstruct in a ... WebbDOI: 10.1109/PIC.2015.7489889 Corpus ID: 18261800; Reconstruct LDPC codes in a noisy environment @article{Bao2015ReconstructLC, title={Reconstruct LDPC codes in a noisy environment}, author={Xin Bao and Yuanling Huang and Guiliang Wang}, journal={2015 IEEE International Conference on Progress in Informatics and Computing (PIC)}, … Webb3 feb. 2024 · I'm stuck on the problem of how to detect voice in a noisy environment. Here's an example of a spectogram with a person speaking 8 steps away from the microphone. There is crackle in the recording (don't believe this has an effect) and a bird chirping … houghton carlisle