Results 21 to 30 of about 14,201 (261)
Minimal State-Space Representation of Convolutional Product Codes
Mathematics, 2021 In this paper, we study product convolutional codes described by state-space representations. In particular, we investigate how to derive state-space representations of the product code from the horizontal and vertical convolutional codes.
Joan-Josep Climent +3 more
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Research on Block-Based Blind Identification of High-rate Punctured Convolutional Codes
MATEC Web of Conferences, 2018 Aiming at the large amount of memory in high bit rate punctured convolutional codes, a soft recognition algorithm based on block Hadamard matrix (B-SWHT) is proposed.
Yan Hua, Huang Ying, Li Baoguo, Lei Jing
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Feedback equivalence of convolutional codes over finite rings
Open Mathematics, 2017 The approach to convolutional codes from the linear systems point of view provides us with effective tools in order to construct convolutional codes with adequate properties that let us use them in many applications.
DeCastro-García Noemí
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Private Streaming With Convolutional Codes [PDF]
IEEE Transactions on Information Theory, 2018 Recently, information-theoretic private information retrieval (PIR) from coded storage systems has gained a lot of attention, and a general star product PIR scheme was proposed. In this paper, the star product scheme is adopted, with appropriate modifications, to the case of private (e.g., video) streaming.
Holzbaur, Lukas +4 more
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Generalized Weights of Convolutional Codes
IEEE Transactions on Information Theory, 2023 In 1997 Rosenthal and York defined generalized Hamming weights for convolutional codes, by regarding a convolutional code as an infinite dimensional linear code endowed with the Hamming metric. In this paper, we propose a new definition of generalized weights of convolutional codes, that takes into account the underlying module structure of the code ...
Elisa Gorla, Flavio Salizzoni
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IEEE Access, 2020 In digital communication systems, error correction codes are used to recover data that has been disturbed in a noisy environment. Convolutional code is a commonly used error correction code. In non-cooperative communication systems, it is very meaningful
Yong Ding, Zhiping Huang, Jing Zhou
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Divergence coding for convolutional codes
MATEC Web of Conferences, 2017 In the paper we propose a new coding/decoding on the divergence principle. A new divergent multithreshold decoder (MTD) for convolutional self-orthogonal codes contains two threshold elements.
Valery Zolotarev +4 more
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Advances in Mathematics of Communications, 2008 In this note we introduce the concept of group convolutional code. We make a complete classification of the minimal $S_3$-convolutional codes over the field of five elements by means of Jategaonkar's theorems.
Sergio Estrada +3 more
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Minimality for punctured convolutional codes [PDF]
ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240), 2002 This paper investigates encoders optimization for the Hamming weight after periodic puncturing, and discusses minimality issues that may affect the performance of the punctured encoders. Periodically puncturing a minimal encoder produces a higher rate encoder that may or may not be minimal.
Fragouli, C. +2 more
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Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source