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Creators/Authors contains: "Scharf, L.L."

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  1. ; (, Conference record - Asilomar Conference on Signals, Systems, & Computers)
    In this paper we frame a fairly comprehensive set of spacetime detection problems, where a subspace signal modulates the mean-value vector of a multivariate normal measurement and nonstationary additive noise determines the covariance matrix. The measured spacetime data matrix consists of multiple measurements in time. As time advances, the signal component moves around in a subspace, and the noise covariance matrix changes in scale. 
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    Accepted Manuscript Full Text Available
  2. ; ; (, EUSIPCO ...)
    In this work, we consider a second-order detection problem where rank-p signals are structured by an unknown, but common, p-dimensional random vector and then received through unknown M by p matrices at each of two M-element arrays. The noises in each channel are independent with identical variances. We derive generalized likelihood ratio (GLR) tests for this problem when the noise variance is either known or unknown. The resulting detection problems may be phrased as two-channel factor analysis problems. 
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    Accepted Manuscript Full Text Available