نتایج جستجو برای: eigen functions
تعداد نتایج: 493666 فیلتر نتایج به سال:
This paper a new biometric method for personal identification is been presented by iris identification of a person in lower dimensionality and reduced template size than the other previous approaches in 2D Eigen space, so that it can be use for verification in application areas . Here the iris images are expressed in lower dimension, re-tending its features by using covariance matrix and Eigen ...
This paper study to estimate a desired signals with linear array antenna in correlation system. This study is to estimate for desired direction of arrival among incidental signals on receive antenna system. We use an eigen vector and eigen value in order to correctly desired signals in correlation. We study optimum covariance matrix with eigen matrix. Through simulation, we show that compare th...
Numerous electric double layer models have been developed through the years to capture the complex electrode/electrolyte interface. In the present study, the Wicke-Eigen model of electric double layer is generalized to incorporate the asymmetric size of cations and anions. Analytical expressions for the spatial distribution of ions and water dipoles are derived. Asymmetric and symmetric Wicke-E...
A face recognition system using different local features with different distance measures is proposed in this paper. Proposed method is fast and gives accurate detection. Feature vector is based on Eigen values, Eigen vectors, and diagonal vectors of sub images. Images are partitioned into sub images to detect local features. Sub partitions are rearranged into vertically and horizontally matric...
We present an overview of eigen analysis methods and their applications to network analysis. We consider several network analysis programs/procedures (Correspondence Analysis, NEGOPY, CONCOR, CONVAR, Bonacich centrality) that are at their core eigendecomposition methods. We discuss the various matrix representations of networks used by these procedures and we give particular attention to a vari...
Eigen decomposition is a central mathematical tool in many pattern recognition and machine learning techniques. However, it becomes computationally infeasible in the presence of a large set of high-dimensional samples. Moreover, in highly dynamic domains with a continual supply of new samples, an incremental approach that keeps on updating the eigen decomposition will be more desirable than the...
This paper describes three different mechanisms used in Jellyfish Search (JS) optimiser. At first, an archive of good old solutions is to prevent getting stuck the local-optima area. Further, a distribution coefficient beta adapted during search process control population diversity. Finally, Eigen transformation individuals reproduction occasionally cope with rotated functions. Three proposed v...
For bounded smooth domains the number λ1 is the so-called principal eigenvalue. It has a unique eigenfunction, which is positive, and this eigenfunction is the only positive one (up to normalization). Two main references for this type of results, which are usually called maximum principles, are the books by Walter (1964) and by Protter and Weinberger (1967). Extensions to general bounded non-sm...
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