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Effective Complexity of Stationary Process Realizations

Nihat Ay, Markus Müller, Arleta Szkoła
2011 Entropy  
Here we investigate the effective complexity of binary strings generated by stationary, in general not computable, processes.  ...  We show that under not too strong conditions long typical process realizations are effectively simple.  ...  Effective complexity of stationary process realizations Nihat Ay, Markus Müller, Arleta Szkoła Abstract-The concept of effective complexity of an object as the minimal description length of its regularities  ... 
doi:10.3390/e13061200 fatcat:vkbizb3vrvdsreiuzarxp3mpru

An Improved Method of Reservoir Facies Modeling Based on Generative Adversarial Networks

Qingbin Liu, Wenling Liu, Jianpeng Yao, Yuyang Liu, Mao Pan
2021 Energies  
non-stationary patterns and improve the conditional constraint effect of GANs based methods.  ...  The traditional geostatistics methods which have shortage in characterization of the complex and non-stationary geological patterns, have limitation in facies modeling of continental sedimentary reservoirs  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/en14133873 fatcat:34a74voeefh6pi7z3vwzjfzjrq

Research progress of chiral ligand exchange stationary phases in the enantiomer resolution

Hui Bai, T. Zhu, M. Anpo, A. Sharifi
2021 E3S Web of Conferences  
In this work, the development of chiral ligand exchange stationary phases in enantiomeric resolution is reviewed, which is expected to provide a basis for the quality control of complex chiral drug components  ...  The chiral ligand exchange stationary phase has a strong recognition effect on enantiomer analytes with multiple chelating sites, and is very suitable for the separation and control of biological samples  ...  to realize the separation of complex chiral drug components.  ... 
doi:10.1051/e3sconf/202127104020 fatcat:el7zo2dlgzeilbnp4rd4nfvyty


Michaela Horalová Kalinová, German Michaľčonok
2013 Research Papers. Faculty of Materials Science and Technology. Slovak University of Technology in Trnava  
In the experiment, we will identify the existence and the nature of the process relationships in the system of stationary random processes based on the results of analyses.  ...  The aim of this paper is to present the possibilities of applying data mining techniques to the problem of the structural relationships analysis in the system of stationary random processes.  ...  ) processes in the stationary stochastic processes.  ... 
doi:10.2478/rput-2013-0038 fatcat:wanhkcdwsna4dc7ikxgz6twbe4


2010 Fiabilitate şi Durabilitate  
The Working through complex electrical erosion is a process of removal of the excess of working through repeted action of electrical discharges within the impulse, in the limited space between an electrode  ...  The paper presents the study of the elementary processes which unfold simultaneously within the elementary working space, as well as the knowing and mastering of the physical mechanism of the drawing material  ...  Since the processing through complex electric erosion is not a process of stationary nature, in fact all the types of erosion mentioned may be developed, and depending on the values of the process parameters  ... 
doaj:36061cfe7ad64b8aad706d4881bf50bf fatcat:5nm4ollixzdzzcpyr2mfbbua3m


Peyman Mohammadmoradi, Mohammad Rasaeii
2014 Open Transactions on Geosciences  
In the final non-stationary images, spatial statistics of training images and physical features of regional images are reproduced and traditional methods related concepts such as search tree and realization  ...  Geologic modeling of complex structures needs realistic algorithms that can extract and reproduce position-dependent statistical relations in these phenomena.  ...  Multi Point Statistics (MPS) is used to produce realistic realizations of complex structures after the pioneer work of Strebelle [2] who applied image processing concepts for this purpose.  ... 
doi:10.15764/geos.2014.02007 fatcat:4kdfsxbdenbx3agrsaat7bfb3y

A Novel Non-Stationary Channel Model Utilizing Brownian Random Paths

Alireza Borhani, Matthias Pätzold
2014 REV Journal on Electronics and Communications  
The Brownian trajectory model is then employed to provide a non-stationary channel model, in which the scattering effects of the propagation area are modelled by a non-centred one-ring geometric scattering  ...  The local power spectral density (PSD) of the Doppler frequencies and the autocorrelation function (ACF) of the complex channel gain are also provided.  ...  We have also shown that the effect of changing mobility pattern can better be seen in the PSD as compared to the ACF of the complex channel gain.  ... 
doi:10.21553/rev-jec.69 fatcat:5pcl4euaijf6liv5dpsgyrwmx4

Modified FILTERSIM Algorithm for Unconditional Simulation of Complex Spatial Geological Structures

Peyman Mohammadmoradi, Mohammadreza Rasaei
2012 Geomaterials  
Examples shown in this paper give visual appealing results for the reconstruction of stationary complex structures. P. MOHAMMADMORADI, M.  ...  It decreases the complexity of computation, accelerates search process and increases CPU performance compare to other MPS methods by transferring training image patterns to a lower dimensional space.  ...  Figure 2 . 2 Effect of template size on simulation results (where the template size has passed the optimal window, stationary features in realizations are approximately equal the information of the stationary  ... 
doi:10.4236/gm.2012.23008 fatcat:wmrmr363srgerfhslhq5qi3uvu

Phase-frequency algorithms for resolving complex signals in wave seismic fieldimages

A I Kochegurov, E V Zlobina, V. Geringer
2017 Journal of Physics, Conference Series  
of complex signals in dispersive media.  ...  It further shows that transition to equilibrium processing enables significant reduction of requirements to apriori information on the properties of useful signals, while non-equilibrium processing increases  ...  Phase-frequency algorithms with equilibrium and non-equilibrium processing Complex signals obtain an important phase-frequency propertythat determines the steady effect of the primary reflection phase  ... 
doi:10.1088/1742-6596/803/1/012072 fatcat:o3gytoetcvggbe33qfsplfuyey

Virtual Parity-Time Symmetry [article]

Huanan Li, Ahmed Mekawy, Alex Krasnok, Andrea Alù
2019 arXiv   pre-print
Based on the concept of virtual absorption, extended here to implement also virtual gain, we induce PT-symmetry and its landmark effects, such as broken phase transitions, anisotropic transmission resonances  ...  Parity-time (PT) symmetry has been opening exciting opportunities in optics, yet the required careful balance of loss and gain has been hindering its practical implementations.  ...  This work was supported by the Air Force Office of Scientific Research and the Simons Foundation.  ... 
arXiv:1911.12875v1 fatcat:q4jak67kcndy5a5z4luvldrnxy

Kernels and Multiple Windows for Estimation of the Wigner-Ville Spectrum of Gaussian Locally Stationary Processes

Patrik Wahlberg, Maria Hansson
2007 IEEE Transactions on Signal Processing  
For a certain family of locally stationary processes which parametrizes the transition from stationarity to nonstationarity, the optimal windows are approximately dilated Hermite functions.  ...  This paper treats estimation of the Wigner-Ville spectrum (WVS) of Gaussian continuous-time stochastic processes using Cohen's class of time-frequency representations of random signals.  ...  In Fig. 1 we show images of and for this process, and in Fig. 2 one realization of the stochastic processes , , respectively, and the average of over ten realizations.  ... 
doi:10.1109/tsp.2006.882076 fatcat:xbj5lfeh5ngjnaafrefkxuhocm

Network reconstruction by the stationary distribution of random walk process [article]

Zhe He, Ming Li, Rui-Jie Xu, Bing-Hong Wang
2016 arXiv   pre-print
It is known that the stationary distribution of the random walk process is dependent on the structure of the network. This could provide us a solution of the network reconstruction.  ...  However, the stationary distribution of the random walk process can only reflect the relative size of node degrees directly, how to infer the real connection is still a problem.  ...  As a basic conclusion of the Markov process on networks, the stationary distribution of the random walk process depends on the network structure [30] .  ... 
arXiv:1410.4120v2 fatcat:hdesc2epgvhzldza7e5mbgfbim

Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range correlations

Wanting Xiong, Luca Faes, Plamen Ch. Ivanov
2017 Physical review. E  
We investigate the dependence of entropy measures on estimator-and process-specific parameters, and we show the effects of three types of nonstationarities due to artifacts (trends, spikes, local variance  ...  change) in simulations of stochastic autoregressive (AR) processes.  ...  realizations of these processes.  ... 
doi:10.1103/physreve.95.062114 pmid:28709192 fatcat:5yjje6niyjhixeyrsvcfmj6ix4

Parameterized Pseudo-Localization for Accurate and Efficient Moving Targets Imaging in Synthetic Aperture Radar

Xuepan Zhang, Lu Liu, Xuejing Zhang
2017 Sensors  
Comparison simulations and real data processing results demonstrate the effectiveness of the proposed methods.  ...  Compared with the conventional methods, the proposed improved method capable of high accuracy and low computation complexity simultaneously can meet the accurate and efficient requirements in the practical  ...  Real Data Process Real data is processed to further demonstrate the effectiveness of the proposed method. The system parameters are listed in Table 1 .  ... 
doi:10.3390/s17081714 pmid:28933722 pmcid:PMC5579520 fatcat:uljdkvcqzbewpehacy5yocdupm

The effects of variable stationarity in a financial time-series on Artificial Neural Networks

Matthew Butler, Dimitar Kazakov
2011 2011 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr)  
This study investigates the characteristic of nonstationarity in a financial time-series and its effect on the learning process for Artificial Neural Networks (ANN).  ...  the stationary process. 978-1-4244-9932-8/11/$26.00 ©2011 IEEE 978-1-4244-9934-2/11/$26.00 ©2011 IEEE  ...  The behaviour of the market is not well represented by AR(1) process and this added complexity makes the benefits of pre-processing less definitive.  ... 
doi:10.1109/cifer.2011.5953557 dblp:conf/cifer/ButlerK11 fatcat:zt5mu76y55f5ffifcgj3nmbkq4
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