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Diagonal matrix

Some new sufficient conditions for generalized strictly diagonally dominant matrices

Some new sufficient conditions for generalized strictly diagonally dominant matrices

... given matrix is a generalized strictly diagonally dominant matrix or not in ...positive diagonal matrix and applying some techniques of inequalities, which improve and generalize some existing ...

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ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL 
CLIMBING APPROACH

ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH

... This paper is concerned with the design of multivariable decoupling internal model controller in industrial processes with large time delay characteristics, as well as linkages between controlling loops coupled. Some new ...

6

On tridiagonal conjugate secondary normal matrices

On tridiagonal conjugate secondary normal matrices

... every matrix of this class can be transformed into a secondary diagonal matrix by a proper s-unitary similarity ...secondary diagonal entries of the transformed matrix are the s-eigen ...

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New inequalities for the Hadamard product of an M matrix and its inverse

New inequalities for the Hadamard product of an M matrix and its inverse

... Fiedler, M, Johnson, CR, Markham, TL, Neumann, M: A trace inequality for M-matrix and the symmetrizability of a real matrix by a positive diagonal matrix.. Linear Algebra Appl.[r] ...

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Digital computer calculation of power system short circuit and load flow utilising diakoptics and sparsity techniques

Digital computer calculation of power system short circuit and load flow utilising diakoptics and sparsity techniques

... is important in the digital calculation of a network bus impedance matrix, as z 5 is a diagonal matrix and simple rules can be derived for augmenting the bus impedance matrix of a partia[r] ...

203

Monic divisors of polynomial matrices over infinite field

Monic divisors of polynomial matrices over infinite field

... polynomial matrix over a field was one of the most investigated problems in the matrix theory in the middle and second half of last ...polynomial matrix was solved by ...determinant matrix ...

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Stochastic analysis of neural network modeling and identification of nonlinear memoryless MIMO systems

Stochastic analysis of neural network modeling and identification of nonlinear memoryless MIMO systems

... combining matrix of the MIMO system (to within a scaling diagonal matrix) and that each NN block identifies the corresponding unknown nonlinearity to within a scale ...

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Array Aperture Extension Algorithm for 2-D DOA Estimation with L-Shaped Array

Array Aperture Extension Algorithm for 2-D DOA Estimation with L-Shaped Array

... covariance matrix of the received signals to estimate the DOAs of the signal ...covariance matrix with L-shaped ...covariance matrix by employing the rotational invariance and the property that the ...

7

A Simplified Improvement on the Design of QO STBC Based on Hadamard Matrices

A Simplified Improvement on the Design of QO STBC Based on Hadamard Matrices

... Hadamard matrix has the ability to diagonalize quasi-cyclic matrices [11,12] and matrices are readily invertible if they are complex ...Hadamard matrix, it will be shown that the Hadamard based STBC ...

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Hybrid  DWT-SVD  Digital Image Watermarking

Hybrid DWT-SVD Digital Image Watermarking

... square matrix using SVD, without the loss of image ...given matrix into three equal size of matrixes of same size from which one matric is called diagonal and others two are orthogonal ...[3]. ...

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An Oblivious and Robust Image Watermarking Algorithm Using SVD Transformation

An Oblivious and Robust Image Watermarking Algorithm Using SVD Transformation

... diagonal elements are non-negative and they are called as singular values.The diagonal matrix considered here is a square matrix and is less affected when general image processing is done. The ...

8

Low complexity arithmetic mean decomposition based pre coding for 
		mimo 
		systems and its 
		fpga implementation

Low complexity arithmetic mean decomposition based pre coding for mimo systems and its fpga implementation

... channel matrix is stimulated and implemented in Xilinx- xc7v2000t- 2flg1925 ...input matrix while ‘Bid’ is the bi-diagonal matrix computed and ‘R’ is the final upper diagonal ...

5

Two Level Block Decompositions for Solving Helmholtz Equation via Chebyshev Pseudo Spectral Method

Two Level Block Decompositions for Solving Helmholtz Equation via Chebyshev Pseudo Spectral Method

... and matrix dia- gonalizations [5] [6] [7] ...the matrix diagonalization method will be employed to first decompose the matrix K into a block diagonal matrix consisting of q ...

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Graded and Hessenberg Form together for Symmetric Matrices in QR Algorithm

Graded and Hessenberg Form together for Symmetric Matrices in QR Algorithm

... hessenberg matrix. The hessenberg matrix is near to the diagonal matrix, so it will reduce the operation count for the QR algorithm From Figure ...hessenberg matrix will work better ...

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On Classes of Matrices with Variants of the Diagonal Dominance Property

On Classes of Matrices with Variants of the Diagonal Dominance Property

... If  ( ) A = n , we say that A is strictly diagonally dominant . We call A irreduc- ibly diagonally dominant if  ( ) A ≠ ∅ and A is both diagonally dominant and irreducible . We say that A is generalized diagonally ...

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Isomorphy Classes of k-involutions of Algebraic Groups of Type G2 and F4.

Isomorphy Classes of k-involutions of Algebraic Groups of Type G2 and F4.

... where ∗ is conjugation with respect to the octonion entries of x along with the transpose of the 3 × 3 matrix. We, again, spend some time building up the structure of such algebras, and how they relate to other ...

191

Some Fundamental Properties of Petri Nets

Some Fundamental Properties of Petri Nets

... input matrix for the net in fig. 2 (a) has symmetrical matrix properties and it is a diagonal and identity ...this matrix does not change ...flow matrix is symmetric then if the net ...

7

Nonlinear Analysis of Truss Structures Using Dynamic Relaxation (RESEARCH NOTE)

Nonlinear Analysis of Truss Structures Using Dynamic Relaxation (RESEARCH NOTE)

... In this paper, a new formulation for the DR method was suggested. Some planer and space trusses were also analyzed for numerical verification. The numerical results clarify that the new formulation increases the ...

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EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks

EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks

... eral of these notable methods relying on the Gauss-Newton matrix face the essential limit that they cannot handle non- convex criterion functions playing an important part in some problems. Use robust estimation ...

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A Hub Matrix Theory and Applications to Wireless Communications

A Hub Matrix Theory and Applications to Wireless Communications

... candidate-hub matrix, if m − 1 of its columns are orthogonal to each other with respect to the Euclidean inner ...the matrix A is called a hub matrix and this remaining column is called the hub ...

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