Results 261 to 270 of about 17,778,637 (310)

Invariance of sampled-data and adaptive sampled-data systems

IFAC Proceedings Volumes, 1963
Summary In the report it is shown that the invariance conditions can be used successfully in usual continuous control systems and also in sampled- data control systems. This is especially important in adaptive impulse systems. In the first section of the report fundamentals of invariance theory of combined sampled-data systems are considered.
V.M. Kuntsevich, Yu. V. Krementulo
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The analysis of contact sampling data

Oecologia, 1980
Use of the chi-square statistic for investigating interspecific association has been incorrectly applied to the contact sampling method because of an invalid probability argument. The usual method of calculating expected frequencies leads to a large overestimation and hence bias towards negative association.
Piet, de Jong   +2 more
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Sampling and sampled-data models

Proceedings of the 2010 American Control Conference, 2010
Physical systems typically evolve continuously whereas modern controllers and signal processing devices invariably operate in discrete time. Hence sampling arises as a cornerstone problem in essentially all aspects of modern systems science. This paper reviews various aspects of sampling of signals and systems.
Graham C. Goodwin   +3 more
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Over-sampled data converters

2009 IEEE Custom Integrated Circuits Conference, 2009
The papers in this session highlight both emerging applications of over-sampling techniques and newer methods of their implementation in traditional analog-to-digital converters architectures. Performance enhancement techniques for both discrete- and continuous-time oversampled analog-to-digital converters are presented.
Pavan Kumar Hanumolu   +1 more
openaire   +1 more source

Sampled-Data Systems

2014
For digital devices to interact with the physical world, an interface is needed that transforms the signals from analog to digital and vice versa. Ideal samplers and zero-order hold devices are incorporated to derive discrete-time models of continuous-time systems. State variable descriptions and transfer functions are used.
Antsaklis, P., Trentelman, H. L.
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Techniques for Warehousing of Sample Data

22nd International Conference on Data Engineering (ICDE'06), 2006
We consider the problem of maintaining a warehouse of sampled data that "shadows" a full-scale data warehouse, in order to support quick approximate analytics and metadata discovery. The full-scale warehouse comprises many "data sets," where a data set is a bag of values; the data sets can vary enormously in size. The values constituting a data set can
Paul G. Brown, Peter J. Haas
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Sketching Sampled Data Streams

2009 IEEE 25th International Conference on Data Engineering, 2009
Sampling is used as a universal method to reduce the running time of computations -- the computation is performed on a much smaller sample and then the result is scaled to compensate for the difference in size. Sketches are a popular approximation method for data streams and they proved to be useful for estimating frequency moments and aggregates over ...
Florin Rusu, Alin Dobra
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Spectral analysis of irregularly-sampled data: Paralleling the regularly-sampled data approaches

Digital Signal Processing, 2006
The spectral analysis of regularly-sampled (RS) data is a well-established topic, and many useful methods are available for performing it under different sets of conditions. The same cannot be said about the spectral analysis of irregularly-sampled (IS) data: despite a plethora of published works on this topic, the choice of a spectral analysis method ...
Petre Stoica, Niclas Sandgren
openaire   +1 more source

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