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3篇 您的检索式:作者名="Laura MacLean"
    题名 作者 年代 出处 被引量
1Study of the population pharmacokinetic characteristics of once-daily trospium chloride 60 mg extended-release capsules in patients with overactive bladder and in healthy subjects 显示文摘Harnett M D James Shipley Laura MacLean 2013Clinical Drug Investigation2013,33,2:1
2Integrating Appreciative Inquiry (AI) into architectural pedagogy: An assessment experiment of three retrofitted buildings in the city of Glasgow显示文摘Ashraf M. Salama Laura Maclean 2017Frontiers of Architectural Research2017,6,2:0
3Identification and classification of transient pulses observed in magnetometer array data by time-domain principal component analysis filtering显示文摘A method for identification of pulsations in time series of magnetic field data which are simultaneously present in multiple channels of data at one or more sensor locations is described. Candidate pulsations of interest are first identified in geomagnetic time series by inspection.Time series of these ‘‘training events' ' are represented in matrix form and transpose-multiplied to generate timedomain covariance matrices. The ranked eigenvectors of this matrix are stored as a feature of the pulsation. In the second stage of the algorithm, a sliding window(approximately the width of the training event) is moved across the vector-valued time-series comprising the channels on which the training event was observed. At each window position, the data covariance matrix and associated eigenvectors are calculated. We compare the orientation of the dominant eigenvectors of the training data to those from the windowed data and flag windows where the dominant eigenvectors directions are similar. This was successful in automatically identifying pulses which share polarization and appear to be from the same source process. We apply the method to a case study of continuously sampled(50 Hz) data from six observatories, each equipped with threecomponent induction coil magnetometers. We examine a90-day interval of data associated with a cluster of four observatories located within 50 km of Napa, California,together with two remote reference stations-one 100 km to the north of the cluster and the other 350 km south. When the training data contains signals present in the remote reference observatories, we are reliably able to identify and extract global geomagnetic signals such as solar-generatednoise. When training data contains pulsations only observed in the cluster of local observatories, we identify several types of non-plane wave signals having similar polarization.Karl N. Kappler Daniel D. Schneider Laura S. MacLean Thomas E. Bleier 2017Earthquake Science2017,30,4:0
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