Results 191 to 200 of about 983,706 (222)
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Speech enhancement using a minimum mean square error short-time spectral amplitude estimator
, 1984Absstroct-This paper focuses on the class of speech enhancement systems which capitalize on the major importance of the short-time spectral amplitude (STSA) of the speech signal in its perception. A system which utilizes a minimum mean-square error (MMSE)
Ephraim
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A Fast Algorithm for the Minimum Covariance Determinant Estimator
Technometrics, 1999The minimum covariance determinant (MCD) method of Rousseeuw is a highly robust estimator of multivariate location and scatter. Its objective is to find h observations (out of n) whose covariance matrix has the lowest determinant. Until now, applications
P. Rousseeuw, K. V. Driessen
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A simple and efficient estimator for hyperbolic location
IEEE Transactions on Signal Processing, 1994An effective technique in locating a source based on intersections of hyperbolic curves defined by the time differences of arrival of a signal received at a number of sensors is proposed. The approach is noniterative and gives an explicit solution. It is
Y. Chan, K. C. Ho
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YIN, a fundamental frequency estimator for speech and music.
Journal of the Acoustical Society of America, 2002An algorithm is presented for the estimation of the fundamental frequency (F0) of speech or musical sounds. It is based on the well-known autocorrelation method with a number of modifications that combine to prevent errors.
A. de Cheveigné, Hideki Kawahara
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A simple error estimator and adaptive procedure for practical engineerng analysis
, 1987A new error estimator is presented which is not only reasonably accurate but whose evaluation is computationally so simple that it can be readily implemented in existing finite element codes.
O. C. Zienkiewicz, J. Z. Zhu
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A time-independent free energy estimator for metadynamics.
Journal of Physical Chemistry B, 2015Metadynamics is a powerful and well-established enhanced sampling method for exploring and quantifying free energy surfaces of complex systems as a function of appropriately chosen variables.
P. Tiwary, M. Parrinello
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A distributed one-step estimator
Mathematical programming, 2015Distributed statistical inference has recently attracted enormous attention. Many existing work focuses on the averaging estimator, e.g., Zhang and Duchi (J Mach Learn Res 14:3321–3363, 2013) together with many others.
Cheng Huang, X. Huo
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, 2005
The purpose of this review is to clarify the concepts of bias, precision and accuracy as they are commonly defined in the biostatistical literature, with our focus on the use of these concepts in quantitatively testing the performance of point estimators
B. Walther, Joslin L. Moore
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The purpose of this review is to clarify the concepts of bias, precision and accuracy as they are commonly defined in the biostatistical literature, with our focus on the use of these concepts in quantitatively testing the performance of point estimators
B. Walther, Joslin L. Moore
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A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines
, 1989An unbiased stochastic estimator of tr(I-A), where A is the influence matrix associated with the calculation of Laplacian smoothing splines, is described.
M. Hutchinson
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Distribution Theory for Glass's Estimator of Effect size and Related Estimators
, 1981L. Hedges
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