L
Louis L. Scharf
Researcher at Colorado State University
Publications - 287
Citations - 14988
Louis L. Scharf is an academic researcher from Colorado State University. The author has contributed to research in topics: Subspace topology & Covariance. The author has an hindex of 48, co-authored 280 publications receiving 14013 citations. Previous affiliations of Louis L. Scharf include Honeywell & University of Colorado Boulder.
Papers
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Book
Statistical signal processing : detection, estimation, and time series analysis
TL;DR: In this article, the authors introduce Rudiments of Linear Algebra and Multivariate Normal Theory, and introduce Neyman-Pearson Detectors and Maximum Likelihood Estimators.
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Matched subspace detectors
TL;DR: The generalized likelihood ratio (GLR) is the uniformly most powerful invariant detector and the utility of this finding is illustrated by solving a number of problems for detecting subspace signals in subspace interference and broadband noise.
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Initial results in Prony analysis of power system response signals
TL;DR: Prony analysis as mentioned in this paper extends Fourier analysis by directly estimating the frequency, damping, strength, and relative phase of modal components present in a given signal, which can be used to extract such information from transient stability program simulations and from large-scale system tests of disturbances.
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A multistage representation of the Wiener filter based on orthogonal projections
TL;DR: It is demonstrated that the cross-spectral metric is optimal in the sense that it maximizes mutual information between the observed and desired processes and is capable of outperforming the more complex eigendecomposition-based methods.
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Sensitivity to Basis Mismatch in Compressed Sensing
TL;DR: This paper establishes achievable bounds for the l1 error of the best k -term approximation and derives bounds, with similar growth behavior, for the basis pursuit l1 recovery error, indicating that the sparse recovery may suffer large errors in the presence of basis mismatch.