نتایج جستجو برای: orthogonal transformation

تعداد نتایج: 266361  

2013
V. K. Sudha R. Sudhakar

This paper analyses performance of multiwavelets a variant of wavelet transform on compression of medical images. To do so, two processes namely, transformation for decorrelation and encoding are done. In transformation stage medical images are subjected to multiwavelet transform using multiwavelets such as GeronimoHardin-Massopust, Chui Lian, Cardinal 2 Balanced (Cardbal2) and orthogonal symme...

This study is concerned with the numerical analysis, formulation, programming and computation of steady, 3D conservation equations of reacting laminar flow heat and mass transfer in ducts of arbitrary cross-sections. The non-orthogonal boundary-fitted coordinate transformation method is applied to the Cartesian form of overall-continuity, momenta, energy and species-continuity equations, parabo...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تربیت مدرس - دانشکده علوم پایه 1387

چکیده ندارد.

2013
Yan Hong Yuan Dongsheng

Abstract The different three-phase circuit coordinate transformation matrixes were given in relevant literatures, which might cause some difficulties to understand and apply the coordinate transformation. The paper presented a general expression of the coordinate transformation matrixes in three-phase circuit and pointed out that the coordinate transformation matrixes having different specific ...

Journal: :transactions on combinatorics 2015
hanieh amjadi nasrin soltankhah naji shajarisales mehrdad tahvilian

two latin squares of order $n$ are orthogonal if in their superposition, each of the$n^{2}$ ordered pairs of symbols occurs exactly once. colbourn, zhang and zhu, in a seriesof papers, determined the integers $r$ for which there exist a pair of latin squares oforder $n$ having exactly $r$ different ordered pairs in their superposition. dukes andhowell defined the same problem for latin squares ...

Journal: :CoRR 2016
Victor Dorobantu Per Andre Stromhaug Jess Renteria

The vanishing and exploding gradient problems are well-studied obstacles that make it difficult for recurrent neural networks to learn long-term time dependencies. We propose a reparameterization of standard recurrent neural networks to update linear transformations in a provably norm-preserving way through Givens rotations. Additionally, we use the absolute value function as an element-wise no...

2004
Wen Tsai Steven G Gilmour Roger Mead WEN TSAI STEVEN G GILMOUR

In this paper we list some new orthogonal main e ects plans for three level designs for and factors in runs and compare them with designs obtained from the existing L orthogonal array We show that these new designs have better projection properties and can provide better parameter estimates for a range of possible models Additionally we study designs in other smaller run sizes when there are in...

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