Doubly Stochastic Processing on Jacket Matrices(General Fundamentals and Boundaries)
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概要
- 論文の詳細を見る
In this letter, we define the generalized doubly stochastic processing via Jacket matrices of order-2^n and 2n with the integer, n≥2. Different from the Hadamard factorization scheme, we propose a more general case to obtain a set of doubly stochastic matrices according to decomposition of the fundaments of Jacket matrices. From order-2^n and order-2n Jacket matrices, we always have the orthostochastoc case, which is the same as that of the Hadamard matrices, if the eigenvalue λ_1=1, the other ones are zeros. In the case of doubly stochastic, the eigenvalues should lead to nonnegative elements in the probability matrix. The results can be applied to stochastic signal processing, pattern analysis and orthogonal designs.
- 社団法人電子情報通信学会の論文
- 2006-11-01
著者
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Lee Moon
Chonbuk National Univ. Jeonju Kor
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LEE Moon
Institute of Information & Communication, Chonbuk National University
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Lee Moon
Institute Of Inf. & Comm. Chonbuk Natioanl University
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Hou Jia
School Of Electronics & Information Soochow University
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LEE Kwangjae
Dept. of Infor. & Telecom. Engineering, Hanlyo University
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Lee Moon
Institute Of Agricultural Sciences Office Of Rural Development Suweon
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Lee Kwangjae
Dept. Of Infor. & Telecom. Engineering Hanlyo University
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