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» Nonlinear Predictive Control with a Gaussian Process Model
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107
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ICASSP
2011
IEEE
14 years 5 months ago
Speech bandwidth extension using Gaussian mixture model-based estimation of the highband mel spectrum
The quality and intelligibility of narrowband telephone speech can be enhanced by artifical bandwidth extension. This study combines Gaussian mixture model-based (GMM) mel spectr...
Hannu Pulakka, Ulpu Remes, Kalle J. Palomäki,...
76
Voted
HASE
2007
IEEE
15 years 8 months ago
Parsimonious Classifiers for Software Quality Assessment
—Modeling  to  predict fault­proneness of software modules is an important area  of research in software engineering. Most such models employ a large number ...
Miyoung Shin, Sunida Ratanothayanon, Amrit L. Goel...
CCE
2005
15 years 1 months ago
Compartmental modeling of high purity air separation columns
High purity distillation columns are critical unit operations in cryogenic air separation plants. The development of nonlinear control technology is motivated by the need to frequ...
Shoujun Bian, Suabtragool Khowinij, Michael A. Hen...
CDC
2010
IEEE
163views Control Systems» more  CDC 2010»
14 years 9 months ago
Integrated dynamic optimization and control in reservoir engineering using locally identified linear models
Abstract-- Studies on dynamic real-time optimization (DRTO) of waterflooding strategies in petroleum reservoirs have demonstrated that there exists a large potential to improve eco...
Gijs van Essen, Amin Rezapour, Paul M. J. Van den ...
CCE
2005
15 years 1 months ago
Monitoring process transitions by Kalman filtering and time-series segmentation
The analysis of historical process data of technological systems plays important role in process monitoring, modelling and control. Time-series segmentation algorithms are often u...
Balazs Feil, János Abonyi, Sandor Z. N&eacu...