We present a particle filter construction for a system that exhibits time-scale separation. The separation of time-scales allows two simplifications that we exploit: i) The use of the averaging principle for the dimensional reduction of the system needed to solve for each particle and ii) the factorization of the transition probability which allows the Rao-Blackwellization of the filtering step. Both simplifications can be implemented using the coarse projective integration framework. The resulting particle filter is faster and has smaller variance than the particle filter based on the original system. The convergence of the new particle filter to the analytical filter for the original system is proved and some numerical results are provided.
標(biāo)簽： construction separation time-scale particle
上傳時(shí)間： 2016-01-02
上傳用戶：fhzm5658
abov公司的單片機(jī)器MC80F7208的演示程序,C代碼,包含LCD,I2C,KEY,ADC,NVM,TIME等內(nèi)容,適合初學(xué)者熟悉.
標(biāo)簽： F7208 abov 7208 TIME
上傳時(shí)間： 2013-12-14
上傳用戶：it男一枚
TI warrants performance of its products to the specifications applicable at the time of sale in accordance with TI’s standard warranty. Testing and other quality control techniques are utilized to the extent TI deems necessary to support this warranty. Specific testing of all parameters of each device is not necessarily performed, except those mandated by government requirements.
標(biāo)簽： specifications performance applicable the
上傳時(shí)間： 2016-01-16
上傳用戶：weixiao99
This cookbook contains a wealth of solutions to problems that SQL programmers face all the time. Recipes inside range from how to perform simple tasks, like importing external data, to ways of handling issues that are more complicated, like set algebra. Each recipe includes a discussion that explains the logic and concepts underlying the solution. The book covers audit logging, hierarchies, importing data, sets, statistics, temporal data, and data structures.
標(biāo)簽： programmers solutions cookbook contains
上傳時(shí)間： 2013-12-08
上傳用戶：Altman
You imagine? Right, there s more than one possibility, this time I ll give you tree. One for your private data, one for the common data in order to receive data from other applications like Excel, WinWord etc. and at last, I ll give you a handy-dandy class you can derive ANY MFC object from, to make it a drop target
標(biāo)簽： possibility imagine Right there
上傳時(shí)間： 2013-12-21
上傳用戶：jichenxi0730
This program is a simple Traffic Light Controller. Between start time and end time the system controls a traffic light with pedestrian self-service. Outside of this time range the yellow caution lamp is blinking.
標(biāo)簽： time Controller Between program
上傳時(shí)間： 2016-01-23
上傳用戶：iswlkje
analysis for DRM and WMA. about the cost of decoding time and memroy.
標(biāo)簽： and analysis decoding memroy
上傳時(shí)間： 2016-01-27
上傳用戶：xieguodong1234
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
標(biāo)簽： meta-learning classifiers combining Boosting
上傳時(shí)間： 2016-01-30
上傳用戶：songnanhua
混沌時(shí)間序列預(yù)測(chaotic time series prediction)中的Volterra級(jí)數(shù)一步預(yù)測 、Volterra級(jí)數(shù)多步預(yù)測方法
標(biāo)簽： Volterra prediction chaotic series
上傳時(shí)間： 2016-02-03
上傳用戶：asddsd
Time series data mining.
標(biāo)簽： series mining Time data
上傳時(shí)間： 2014-01-22
上傳用戶：gmh1314
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