Evento
Adaptive MCA-Matched Filter Algorithms for Binary Detection
Tipo del evento:
Congreso
Nombre del evento:
14th Argentine Symposium on Technology
Fecha del evento:
16/09/2013
Institución Organizadora:
Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación;
Título de la revista:
Anales de la 42 JAIIO, Simposio Argentino de Tecnología (AST 2013)
Editorial:
Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación
ISSN:
1850-2806
Idioma:
Inglés
Clasificación temática:
Resumen
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.
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Eventos(IAM)
Eventos de INST.ARG.DE MATEMATICAS "ALBERTO CALDERON"
Eventos de INST.ARG.DE MATEMATICAS "ALBERTO CALDERON"
Citación
Adaptive MCA-Matched Filter Algorithms for Binary Detection; 14th Argentine Symposium on Technology; Córdoba; Argentina; 2013; 163-174
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