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Novel Lossless Compression Method Based on the Fourier Transform to Approximate the Kolmogorov Complexity of Elementary Cellular Automata
《Journal of Software Engineering and Applications》2022年第10期359-383,共25页Mohammed Terry-Jack 
We propose a novel, lossless compression algorithm, based on the 2D Discrete Fast Fourier Transform, to approximate the Algorithmic (Kolmogorov) Complexity of Elementary Cellular Automata. Fast Fourier transforms are ...
关键词：Fast Fourier Transform Lossless Compression Elementary Cellular Automata Algorithmic Information Theory Kolmogorov Complexity 
Speech Enhancement Based on Approximate Message Passing被引量：1
《China Communications》2020年第8期187-198,共12页Chao Li Ting Jiang Sheng Wu 
supported by National Natural Science Foundation of China(NSFC)(No.61671075);Major Program of National Natural Science Foundation of China(No.61631003)。
To overcome the limitations of conventional speech enhancement methods, such as inaccurate voice activity detector(VAD) and noise estimation, a novel speech enhancement algorithm based on the approximate message passi...
关键词：speech enhancement approximate message passing Gaussian model expectation maximization algorithm 
Sampled-data Observer Design for a Class of Stochastic Nonlinear Systems Based on the Approximate Discrete-time Models被引量：2
《IEEE/CAA Journal of Automatica Sinica》2017年第3期507-511,共5页Xinxin Fu Yu Kang Pengfei Li 
supported by the National High Technology Research and Development Program of China(863 Program)(2014AA06A503);the National Natural Science Foundation of China(61422307,61673361);the Scientific Research Starting Foundation for the Returned Overseas Chinese Scholars and Ministry of Education of China;supports from the Youth Top-notch Talent Support Program;the 1000-talent Youth Program;the Youth Yangtze River Scholarship
In this paper,we studied the approximate sampleddata observer design for a class of stochastic nonlinear systems.Euler-Maruyama approximation was investigated in this paper because it is the basis of other higher prec...
关键词：Approximation model exponentially bounded sampled-data observer stochastic nonlinear 
A novel robust adaptive controller for EAF electrode regulator system based on approximate model method
《Journal of Central South University》2012年第8期2158-2166,共9页李磊 毛志忠 
Project(N100604002) supported by the Fundamental Research Funds for Central Universities of China;Project(61074074) supported by the National Natural Science Foundation of China
The electrode regulator system is a complex system with many variables, strong coupling and strong nonlinearity, while conventional control methods such as proportional integral derivative （PID） can not meet the req...
关键词：approximate model electric arc furnaces nonlinear control normalized radial basis function neural network （NRBFNN） 
PRODUCT IMAGE RETRIEVAL BASED ON CO-FEATURES OF THE OBJECT
《Journal of Electronics(China)》2010年第6期815-821,共7页Fu Haiyan Kong Xiangwei t Yang Nan Zhou Jianhui Chu Fengtao 
Supported by the Major Program of National Natural Science Foundation of China (No. 70890080 and No. 70890083)
In this paper, we propose a product image retrieval method based on the object contour corners, image texture and color. The product image mainly highlights the object and its background is very simple. According to t...
关键词：Product image retrieval Multi-features Approximate curvature based on distance Block Difference of Inverse Probabilities (BDIP) and Block Variation of Local Correlation (BVLC) texture features Color moment 
APPROXIMATE IMPLICITIZATION BASED ON RBF NETWORKS AND MQ QUASI-INTERPOLATION被引量：1
《Journal of Computational Mathematics》2007年第1期97-103,共7页Renhong Wang Jinming Wu 
Project supported by the National Natural Science Fbundation of China(No.10271022,No.60373093 and No.60533060).
In this paper, we propose a new approach to solve the approximate implicitization problem based on RBF networks and MQ quasi-interpolation. This approach possesses the advantages of shape preserving, better smoothness...
关键词：RBF networks MQ quasi-interpolation Approximate implicitization Rationalcurves 
Digital controller for hybrid filter in HVDC based on approximate inverse system
《Frontiers of Electrical and Electronic Engineering in China》2006年第4期367-370,共4页SU Ling ZHAO Dong-yuan CHEN Jian-ye WANG Zan-ji 
supported by the National Plan-ning Committee(No.2002064).
In order to eliminate the characteristic harmonics in high voltage direct current(HVDC)transmission systems and to simplify the analog controller structure,this paper proposes a new digital controller by adopting an a...
关键词：HVDC digital controller active power filter(APF) digital filter 
A ROBUST SQP METHOD BASED ON A SMOOTHING APPROXIMATE PENALTY FUNCTION FOR INEQUALITY CONSTRAINED OPTIMIZATION被引量：1
《Journal of Systems Science & Complexity》2002年第1期102-112,共11页ZHANGJuliang ZHANGXiangsun 
This research is supportedin part by the National Natural Science Foundation ofChina(Grant No. 39830070).
A robust SQP method, which is analogous to Facchinei’s algorithm, is introduced. The algorithm is globally convergent. It uses automatic rules for choosing penalty parameter, and can efficiently cope with the possibl...
关键词：SQP method global convergence inequality constrained optimization approximate differentiable exact penalty regularity condition. 
An Efficient Constrained Model Predictive Control Algorithm Based on Approximate Computation被引量：1
《Journal of Systems Engineering and Electronics》2002年第1期42-47,共6页Du Xiaoning, Xi Yugeng & Li Shaoyuan Institute of Automation, Shanghai Jiaotong University, Shanghai 200030, P.R.China 
ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina (KeyProjectNo . 6 9934 0 2 0 ;No .6 0 0 740 0 4) .
The on line computational burden related to model predictive control (MPC) of large scale constrained systems hampers its real time applications and limits it to slow dynamic process with moderate number of inputs....
关键词：Model predictive control (MPC) Receding horizon control (RHC) Approximate computation. 
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