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Linear Feedback Shift Register Genetically Adjusted for Sequence Copying


Affiliations
1 Electrics – Electronics Department, TecNM - Instituto Tecnologico de Veracruz, Veracruz, Mexico
 

The present manuscript proposes a comparison between two types of shift registers; the first one, a traditional one with a linear feedback (LFSR); on the other corner, a register designed one register with genetically-controlled feedback loop (NLFGR). Being more traditional, the linear feedbacked register works as reference to offer comparison metrics, meanwhile the NLFGR is our research focus, since our proposal relies in its good features to replicate certain behaviours, with shorter parsing time than linear feedback shift register.

Keywords

Lineal Feedback Shift Register, Non-Linear Feedback Genetically-Controlled Register, Heuristic Search, Genetic Algorithms, Sequence Reproduction.
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  • Linear Feedback Shift Register Genetically Adjusted for Sequence Copying

Abstract Views: 227  |  PDF Views: 127

Authors

Ugalde-Franco Juan Manuel
Electrics – Electronics Department, TecNM - Instituto Tecnologico de Veracruz, Veracruz, Mexico
Martinez-Gonzalez Ricardo Francisco
Electrics – Electronics Department, TecNM - Instituto Tecnologico de Veracruz, Veracruz, Mexico
Mejia-Perez Juan Francisco
Electrics – Electronics Department, TecNM - Instituto Tecnologico de Veracruz, Veracruz, Mexico

Abstract


The present manuscript proposes a comparison between two types of shift registers; the first one, a traditional one with a linear feedback (LFSR); on the other corner, a register designed one register with genetically-controlled feedback loop (NLFGR). Being more traditional, the linear feedbacked register works as reference to offer comparison metrics, meanwhile the NLFGR is our research focus, since our proposal relies in its good features to replicate certain behaviours, with shorter parsing time than linear feedback shift register.

Keywords


Lineal Feedback Shift Register, Non-Linear Feedback Genetically-Controlled Register, Heuristic Search, Genetic Algorithms, Sequence Reproduction.

References