Filtering and system identification: a least squares approach. Michel Verhaegen, Vincent Verdult

Filtering and system identification: a least squares approach


Filtering.and.system.identification.a.least.squares.approach.pdf
ISBN: 0521875129,9780521875127 | 422 pages | 11 Mb


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Filtering and system identification: a least squares approach Michel Verhaegen, Vincent Verdult
Publisher: Cambridge University Press




Feb 3, 2014 - The voom method estimates the mean-variance relationship of the log-counts, generates a precision weight for each observation and enters these into the limma empirical Bayes analysis pipeline. Constants a, b and c in Equation (2) have been determined using test data and a linear least squares method. However, the conventional EM algorithm cannot exploit The expectation step involves the forward Gaussian approximation filtering and the backward Gaussian approximation smoothing. Quinn J, Winter L, Bradly T: Microalgae bulk growth model with application to industrial scale systems. This non-contact On the other hand, molecular detection based techniques for bacteria identification are rapid, specific and sensitive. Apr 22, 2013 - This analysis uses a statistical model we developed to assess how much of the recent slowdown in spending is due to economic factors, and to identify sustained periods where health spending has grown faster or slower than would have been expected due to macroeconomic Perhaps more surprising, we found that these effects are quite slow to develop, with changes in GDP filtering through the health system over a six year period (including the current year). Jan 13, 2014 - A hyperspectral imaging (HSI) system is used to recover the spectral signatures of pigment production in a non-homogeneous media with high spectral resolution and high sensitivity in vivo, without destructing the sample. The maximization step employs a re-weighted i.e., αtst≈rt, solving αt in the least-squares sense, we have. Oct 31, 2013 - The proposed method uses the fuzzy logic controller for the voltage compensation where the design is based on the knowledge base and rule base and the above disadvantage can be eliminated The novel technique is computationally efficient, based on a dichotomous Index Terms—Adaptive filter, dichotomous coordinate descent (DCD), infinite impulse response (IIR) adaptive filter, recursive least squares (RLS), switch mode dc–dc power converter, system identification. Data is fitted by using a non-linear least squares method on the exponential phase. Simulation studies show that the limma pipelines perform at least as well in terms of power and error rate control as the NB or Poisson methods even when the data is generated according to the probabilistic assumptions of the earlier methods. Apr 3, 2014 - The well-known expectation-maximization (EM) algorithm is a popular method and has been widely used to solve system identification and parameter estimation problems. This article describes the isolation and identification of a lipid-rich, hydrocarbon-producing alga, Stichococcus bacillaris strain siva2011, together with its bioprocessing, hydrocarbon and fatty acid methyl ester (FAME) profiles.