English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper is a follow-up to previous researches already published regarding the minimization of optical-electrical noise in optical scanning systems OSS, by the implementation of computational techniques for pattern recognition generated by each reference source used to indicate a coordinate that the OSS will be monitoring. Techniques such as linear discriminant analysis LDA and linear regression LR were implemented in order to discriminate the signals caused by other sources different to the references. In order to enhance the efficiency of these models was implemented linear predictive coding LPC and quantiles as features extractors. The results were encouraging with rates of recognition greater than 91.2 %, reaching in some cases an accuracy of 100 %.

Reconocimiento de patrones aplicando LDA y LR a señales optoelectrónicas de sistemas de barrido óptico