Results 21 to 30 of about 24,174,970 (287)
Assessing Classification Performance for Sampled Remote Sensing Data [PDF]
Big data poses challenges for storage, management, processing, analysis and visualisation. One technique of handling big data is the use of a representative sample of the data.
T. Rangongo +2 more
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Sampled-data synchronization control of dynamical networks with stochastic sampling [PDF]
Copyright @ 2012 IEEEThis technical note is concerned with the sampled-data synchronization control problem for a class of dynamical networks. The sampling period considered here is assumed to be time-varying that switches between two different values in
Liu, X, Wang, Z, Shen, B
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Downsampling Non-Uniformly Sampled Data
Decimating a uniformly sampled signal a factor D involves low-pass antialias filtering with normalized cutoff frequency 1/D followed by picking out every Dth sample.
Fredrik Gustafsson, Frida Eng
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Asymptotic Effectiveness of the Event-Based Sampling According to the Integral Criterion
A rapid progress in intelligent sensing technology creates new interest in a development of analysis and design of non-conventional sampling schemes. The investigation of the event-based sampling according to the integral criterion is presented in this ...
Marek Miskowicz
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Event-triggered sampled-data synchronization of complex networks with time-varying coupling delays
This paper investigates the event-triggered sampled-data synchronization problem of complex networks with time-varying coupling delays. The sampled-data controller is designed with event-triggered mechanisms.
Yang Yang, Yue Long
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Global sampled‐data stabilization for a class of nonlinear continuous system with input delay has been investigated directly in the discrete‐time domain due to challenges confronted in dealing with infinite‐dimensional system under input delay. Memorized
Kecai Cao +3 more
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Sampled-Data Fuzzy Fault Estimation Observer Design for Nonlinear Systems
In this study, a sampled-data fuzzy fault estimation observer design problem is considered for nonlinear systems. The main idea of this study is to solve the sampled-data output problem by using two approaches of approximate discretization and exact ...
Geun Bum Koo
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HexagDLy—Processing hexagonally sampled data with CNNs in PyTorch
HexagDLy is a Python-library extending the PyTorch deep learning framework with convolution and pooling operations on hexagonal grids. It aims to ease the access to convolutional neural networks for applications that rely on hexagonally sampled data as ...
Constantin Steppa, Tim L. Holch
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Optimum structures of digital controllers in sampled-data systems: a roundoff noise analysis [PDF]
In this paper, the effect of roundoff noise in a digital controller is analyzed for a sampled-data system in which the digital controller is implemented in a state-space realization. A new measure, called averaged roundoff noise gain, is derived.
Li, G., Zhao, K.Y., Wu, J., Chen, S.
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The energy, force, and coordinate of sampled structures.
Zhang, Pan, Yang, Weitao
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