نتایج جستجو برای: state estimator

تعداد نتایج: 883470  

2010
Yingyao Hu Matthew Shum Wei Tan

We present a method for estimating Markov dynamic models with unobserved state variables which can be serially correlated over time. We focus on the case where all the model variables have discrete support. Our estimator is simple to compute because it is noniterative, and involves only elementary matrix manipulations. Our estimation method is nonparametric, in that no parametric assumptions on...

Journal: :Fraktal 2021

Salah satu hal penting dalam analisis statistik adalah prosedur estimasi suatu fungsi padat peluang yang biasa disebut densitas. Ada dua metode pendekatan biasanya digunakan, yaitu parameter terkait dengan asumsi distribusi tertentu dan densitas secara non parametrik. Metode parametrik sering kita jumpai histogram.
 Beberapa kelemahan histogram menjadi acuan untuk dikembangkannya lain kern...

Journal: :Neurocomputing 2016
Nan Hou Hongli Dong Zidong Wang Weijian Ren Fuad E. Alsaadi

In this paper, the non-fragile state estimation problem is investigated for a class of discrete-time neural networks subject to Markovian jumping parameters and time delays. In terms of a Markov chain, the mode switching phenomenon at different times is considered in both the parameters and the discrete delays of the neural networks. To account for the possible gain variations occurring in the ...

Journal: :iranian journal of public health 0
h zeraati m mahmoudi a kazemnejad k mohammad

the gastric cancer in iran is the fourth in the general population. this study was designed to determine the five-year survival rate of gastric cancer patients, and to assess its associated factors. we analyzed the data using a time-dependent covariates model, and recommend it for analyses of similar data. 281 gastric cancer patients with adenocarcinomatous pathology who had been operated on at...

Journal: :The International Conference on Electrical Engineering 2016

Journal: :Automatica 2006
Thierry Floquet Jean-Pierre Barbot

This paper deals with a new type of estimator for discrete-time linear systems with unknown inputs. A constructive algorithm is given in order to analyze the state observability and the left invertibility of the system (i.e the possibility to recover the unknown inputs with the outputs) and then an estimator is designed. Copyright c ©2005 IFAC

2012
Markus Rupp Florent Kadrija

In this thesis, different iterative channel estimation algorithms for Long Term Evolution (LTE) downlink are investigated. LTE uses coherent detection, which requires channel state information. In order to achieve high data rate transmission over mobile radio channels, it is essential to have accurate channel state information at the receiver side. For channel estimation purpose LTE provides tr...

Journal: :Oper. Res. Lett. 2009
Demet Batur David Goldsman Seong-Hee Kim

We discuss an improved jackknifed Durbin–Watson estimator for the variance parameter from a steady-state simulation. The estimator is based on a combination of standardized time series area and Cramér–von Mises estimators. Various examples demonstrate its efficiency in terms of bias and variance compared to other estimators.

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید