The problem of spectral subtraction, to estimate the
parameters of a single source in colored noise, is used to show
the relationships between the likelihood formulation and spectral
density estimation. Reported previously as a filter bank
processing for spectral estimation, it is shown that the
normalized Capon estimate is the natural tool for source location
in I-d and 2-d scenarios when the noise background estimate is
faced as a spectral subtraction problem. Several simulations
selecting I-d and 2-d apertures are used to show the degree of
quality achieved with the proposed formulation. Also, the
Periodogram test for incoherent detection is analyzed in front of
the optimum test and the herein referred to as the Capon's test.
CitationLagunas, M.; Pérez, A. Spectral substraction and spectral estimation. A: Proc. X IEEE Workshop Statistical Signal and Array Processing. "Proc. X IEEE Workshop Statistical Signal and Array Processing". Pocono Mannor: 2000, p. 383-386.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: email@example.com