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Noise power spectral density estimation based on optimal smoothing and minimum statistics
 IEEE TRANS. SPEECH AND AUDIO PROCESSING
, 2001
"... We describe a method to estimate the power spectral density of nonstationary noise when a noisy speech signal is given. The method can be combined with any speech enhancement algorithm which requires a noise power spectral density estimate. In contrast to other methods, our approach does not use a ..."
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Cited by 267 (7 self)
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We describe a method to estimate the power spectral density of nonstationary noise when a noisy speech signal is given. The method can be combined with any speech enhancement algorithm which requires a noise power spectral density estimate. In contrast to other methods, our approach does not use
TESTING EQUALITY OF SPECTRAL DENSITIES
"... Abstract. We develop a test of the hypothesis that the spectral densities of a number m, m ≥ 2, not necessarily independent time series are equal. The test proposed is based on an appropriate L2distance measure between the nonparametrically estimated individual spectral densities and an overall, ’ ..."
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Abstract. We develop a test of the hypothesis that the spectral densities of a number m, m ≥ 2, not necessarily independent time series are equal. The test proposed is based on an appropriate L2distance measure between the nonparametrically estimated individual spectral densities and an overall
Monotone spectral density estimation
, 2009
"... We propose two estimators of a unimodal or monotone spectral density, that are based on the periodogram. These are the isotonic regression of the periodogram and the isotonic regression of the logperiodogram. We derive pointwise limit distribution results for the proposed estimators for short memor ..."
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Cited by 8 (0 self)
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We propose two estimators of a unimodal or monotone spectral density, that are based on the periodogram. These are the isotonic regression of the periodogram and the isotonic regression of the logperiodogram. We derive pointwise limit distribution results for the proposed estimators for short
Spectral Density Measurements
, 2011
"... State of the art supercontinuum white light lasers are now able to produce several Watts of average power in a spectral range covering more than 2000nm. For such systems, stating the total average power in the entire supercontinuum spectrum is a poor specification of system performance, as significa ..."
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, as significant power can be concentrated in discrete spectral bands. Specification of spectral density reveals such pitfalls and shows the true optical performance of the source. Precise characterization of the spectral density is thus very important for evaluation of a given light source. This note will show
Spectral Densities and Borel Transforms
, 1993
"... We show that the leading double spectral density in sum rules for Comptonlike processes can be obtained by simple properties of the Borel transform, extending an approach widely used in the literature on sum rules, and known to be valid only for the spectral densities of form factors. The extension ..."
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We show that the leading double spectral density in sum rules for Comptonlike processes can be obtained by simple properties of the Borel transform, extending an approach widely used in the literature on sum rules, and known to be valid only for the spectral densities of form factors
Aggregation of Spectral Density Estimators
"... Given stationary time series data, we study the problem of finding the best linear combination of a set of lag window spectral density estimators with respect to the mean squared risk. We present an aggregation procedure and prove a sharp oracle inequality for its risk. We also provide simulations d ..."
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Given stationary time series data, we study the problem of finding the best linear combination of a set of lag window spectral density estimators with respect to the mean squared risk. We present an aggregation procedure and prove a sharp oracle inequality for its risk. We also provide simulations
Spectral Density of a Periodic Jacobi Matrix
, 1996
"... The spectral density of a periodic Jacobi matrix is calculated. ..."
APPROXIMATING SPECTRAL DENSITIES OF LARGE MATRICES
"... Abstract. In physics, it is sometimes desirable to compute the socalled Density Of States (DOS), also known as the spectral density, of a Hermitian (or symmetric) matrix A. The spectral density can be viewed as a probability density distribution that measures the likelihood of finding eigenvalues n ..."
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Cited by 2 (0 self)
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Abstract. In physics, it is sometimes desirable to compute the socalled Density Of States (DOS), also known as the spectral density, of a Hermitian (or symmetric) matrix A. The spectral density can be viewed as a probability density distribution that measures the likelihood of finding eigenvalues
A Shrinkage Estimator for Spectral Densities
"... We propose a shrinkage estimator for spectral densities based on a multilevel normal hierarchical model. The rst level captures the sampling variability via a likelihood constructed using the asymptotic properties of the periodogram. At the second level, the spectral density is shrunk towards a para ..."
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We propose a shrinkage estimator for spectral densities based on a multilevel normal hierarchical model. The rst level captures the sampling variability via a likelihood constructed using the asymptotic properties of the periodogram. At the second level, the spectral density is shrunk towards a
Results 1  10
of
343,397