نتایج جستجو برای: maximum filtering algorithms 3x3 and 5x5

تعداد نتایج: 16873904  

1998
R. A. Beach E. C. Piquette T. C. McGill T. J. Watson

The incorporation of oxygen onto the (3x3) reconstructed surface of GaN(0001) has been studied using X-ray Photoelectron Spectroscopy (XPS). It was found that the (3x3) reconstruction corresponds to a fractional Ga adlayer atop a Ga terminated GaN surface. Our measurements indicate a surface coverage of 1.15 ± 0.2 monolayers of relaxed Ga on the surface. The binding energy separation between th...

غلامی, محبوبه, هاشمی تنگستانی, مجید,

Mishan Formation with grey marl and sandy lime composition is one of the most important raw material for cement production. Remote sensing is approved as a low-cost and rapidly developing method in exploration of mineral resources. The sub-pixel mixture tuned matched filtering (MTMF) and the whole-pixel spectral angle mapper (SAM) algorithms were used on 6 and 9 bands of the ASTER data from Mis...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور - دانشگاه پیام نور استان تهران - دانشکده علوم ریاضی و مهندسی کامپیوتر 1392

heuristics are often used to provide solutions for flow shop scheduling problems.the performance of a heuristic is usually judged by comparing solutions and run times on test cases.this investigation proposes an analytical alternative ,called asymptotic convergence ,which tests the convergence of the heuristic to a lower bound as problem size grows. the test is a stronger variation of worst cas...

2016
Vladimir V Bochkarev Inna A Belashova Hironobu Okuyama Yoshiki Ichioka

In this article, algorithms of non-linear filtering of Poisson time series are tested using statistical modelling. The objective is to find a representation of a time series as a wavelet series with a small number of non-linear coefficients, which allows distinguishing statistically significant details. There are well-known efficient algorithms of non-linear wavelet filtering for the case when ...

2009
Giovanni Petris

Package dlm focuses on Bayesian analysis of Dynamic Linear Models (DLMs), also known as linear state space models (see [H, WH]). The package also includes functions for maximum likelihood estimation of the parameters of a DLM and for Kalman filtering. The algorithms used for Kalman filtering, likelihood evaluation, and sampling from the state vectors are based on the singular value decompositio...

Journal: :IEEE Transactions on Automation Science and Engineering 2017

Journal: :IEEE Transactions on Signal Processing 1998

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