Nonlinear Dynamics Time Series (27 results)

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Condition: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9789810241483.…

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Condition: New. A collection of research and expository papers reflecting the interfacing of two fields: nonlinear dynamics and statistics. It presents the proceedings of a workshop entitled 'Nonlinear Dynamics and Time Series: Building a Bridge Between the Natural and Statistical Sciences' held at the Centre de Recherches Mathematiques in Montreal in July 1995. Editor(s): Cutler, Colleen D.; Kaplan, Daniel T. Series: Fields Institute Communications. Num Pages: 252 pages. BIC Classification: PBKD; PBPD. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Weight in Grams: 473. . 2006. Hardback. . . . .…

Paperback. Condition: Brand New. 252 pages. 10.00x7.00x0.60 inches. In Stock.

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Taschenbuch. Condition: Neu. QUANTIFYING DYNAMICS OF PHYSIOLOGICAL SIGNALS | USING NONLINEAR TIME SERIES ANALYSIS TECHNIQUES | Wajid Aziz Loun (u. a.) | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639235449 | Verantwortliche Person für die EU: VDM Verlag Dr. Müller, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

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Condition: New. A collection of research and expository papers reflecting the interfacing of two fields: nonlinear dynamics and statistics. It presents the proceedings of a workshop entitled 'Nonlinear Dynamics and Time Series: Building a Bridge Between the Natural and Statistical Sciences' held at the Centre de Recherches Mathematiques in Montreal in July 1995. Editor(s): Cutler, Colleen D.; Kaplan, Daniel T. Series: Fields Institute Communications. Num Pages: 252 pages. BIC Classification: PBKD; PBPD. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Weight in Grams: 473. . 2006. Hardback. . . . . Books ship from the US and Ireland.…

Taschenbuch. Condition: Neu. Sensor-based Modeling and Monitoring of Chemical Mechanical Polishing | Analysis of Experimental Sensor Data Integrating Statistical Time Series Analysis and Nonlinear Dynamics (Chaos Theory) Paradigms | Prahalada Rao | Taschenbuch | Kartoniert | Englisch | 2008 | VDM Verlag Dr. Müller | EAN 9783639035643 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.…

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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Physiological systems serve as a fascinating playground for the analysis techniques, which stem from the discipline of nonlinear dynamics. The essential non-linearities and the complexity of physiological interactions limit to the ability of linear analysis to provide full description of the underlying dynamics. This makes nonlinear analysis an invaluable tool for the analysis of physiological signals. Robust time series analysis measures are needed to quantify the dynamics of physiological signals.Despite of the fundamental difference in their regulation, the research in heart rate variability analysis has spurred the similar investigations in gait variability analysis.This study is methodological approach for quantifying the dynamics of heart rate and stride interval signals in health and disease. Two nonlinear measures: Threshold based acceleration change index (TACI) and normalized corrected Shannon entropy (NCSE) at different threshold values have been used to quantify the dynamics of heart and stride interval time series of healthy and diseased subjects.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a framework for real time controlof the Chemical Mechanical Planarization (CMP)process based on combining nonlinear dynamicsprinciples with statistical process monitoringapproaches. CMP has a directbearing on the computational speed and dimensionalcharacteristics of solid state devices. The challengein CMP may be narrowed to domains envelopingproductivity, measured in terms of material removalrate (MRR), and quality which is usually specified interms of surface roughness - Ra, within wafernon-uniformity (WIWNU), defect rate, etc. In thiswork, experimental investigations of CMP are executedwith the aid of sensors. The analysis of the datareveals the presence of pronounced stochastic-dynamiccharacteristics. As a result, we derive a processcontrol method integrating statistical time seriesanalysis and nonlinear dynamics which captures ~ 80%(linear R-sq) of the variation in MRR. In this mannera novel paradigm for effective process control in CMPhas been presented.…