Adaptive MCA-Matched Filter Algorithms for Binary Detection

In this work, we present a method for signal-to-noise ratio maximization using a linear filter based on minor component analysis of the noise covariance matrix. As we will see, the greatest benefits are obtained when both filter and signal design are treated as a single problem. This general proble...

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Detalles Bibliográficos
Autores principales: Messina, Francisco, Cernuschi-Frías, Bruno
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2013
Materias:
Ciencias Informáticas
Minor Component Analysis
Matched Filter
Optimal Signal Design
Binary Detection
Adaptive Algorithms
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/93429
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-93429
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Minor Component Analysis
Matched Filter
Optimal Signal Design
Binary Detection
Adaptive Algorithms
spellingShingle Ciencias Informáticas
Minor Component Analysis
Matched Filter
Optimal Signal Design
Binary Detection
Adaptive Algorithms
Messina, Francisco
Cernuschi-Frías, Bruno
Adaptive MCA-Matched Filter Algorithms for Binary Detection
topic_facet Ciencias Informáticas
Minor Component Analysis
Matched Filter
Optimal Signal Design
Binary Detection
Adaptive Algorithms
description In this work, we present a method for signal-to-noise ratio maximization using a linear filter based on minor component analysis of the noise covariance matrix. As we will see, the greatest benefits are obtained when both filter and signal design are treated as a single problem. This general problem is then related to the minimization of the probability of error of a digital communication. In particular, the classical binary detection problem is considered when nonstationary and (possibly) nonwhite additive Gaussian noise is present. Two algorithms are given to solve the problem at hand with cuadratic and linear computational complexity with respect to the dimension of the problem.
format Objeto de conferencia
Objeto de conferencia
author Messina, Francisco
Cernuschi-Frías, Bruno
author_facet Messina, Francisco
Cernuschi-Frías, Bruno
author_sort Messina, Francisco
title Adaptive MCA-Matched Filter Algorithms for Binary Detection
title_short Adaptive MCA-Matched Filter Algorithms for Binary Detection
title_full Adaptive MCA-Matched Filter Algorithms for Binary Detection
title_fullStr Adaptive MCA-Matched Filter Algorithms for Binary Detection
title_full_unstemmed Adaptive MCA-Matched Filter Algorithms for Binary Detection
title_sort adaptive mca-matched filter algorithms for binary detection
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/93429
work_keys_str_mv AT messinafrancisco adaptivemcamatchedfilteralgorithmsforbinarydetection
AT cernuschifriasbruno adaptivemcamatchedfilteralgorithmsforbinarydetection
bdutipo_str Repositorios
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