نتایج جستجو برای: multiplier coefficients were decomposed
تعداد نتایج: 3584045 فیلتر نتایج به سال:
We illustrate how QCD color structure elegantly can be decomposed into orthogonal multiplet bases corresponding to irreducible representations of SU(Nc) with the aid of Wigner 3j and 6j coefficients. We also show how to calculate the relevant 3j and 6j coefficients using multiplet bases and birdtrack techniques and argue that only a relatively small number of Wigner 3j and 6j coefficients are r...
In this paper, we prove Leibniz analogues of results found in Peggy Batten’s 1993 dissertation. We first construct a Hochschild–Serre-type spectral sequence low dimension, which is used to characterize the multiplier terms second cohomology group with coefficients field. The then extended by term and Ganea constructed for algebras. maps involved these exact sequences, as well characterization m...
The conventional frequency response masking (FRM) approach is one of the most well-known techniques for the design of sharp transition band finite impulse response (FIR) digital filters. The resulting FRM digital filters permit efficient hardware implementations due to an inherently large number of zero-valued multiplier coefficients. The hardware complexity of these digital filters can further...
In this study, the detection of alpha particles in the high current mode is investigated in the presence of two gaseous electron multipliers in the micro-pattern structures. Thick Gas Electron Multiplier (TGEM) and an Electron Multiplier Assemblies (EMA) were designed and constructed as amplification gap in the detector chamber. An ion chamber is employed to measure the current of interaction b...
A synergetic model (DWT-LSSVM) is presented in this paper. First of all, the raw data is decomposed into approximate coefficients and the detail coefficients at different scales by discrete wavelet transforms (DWT). These coefficients obtained by previous phase are then used for prediction independently using least squares support vector machines (LSSVM). Finally, these predicted coefficients a...
Medical image classification as an important research topic both in image processing and biomedical engineering. The ridgelet transform has good directional selective ability to locally and sparsely in representing the image compared with the traditional wavelet transform. This paper proposes a novel classification model for medical image, which is using ridgelet transform and dynamic fuzzy the...
In this research, we use operational matrix based on Genocchi polynomials to obtain approximate solutions for a class of fractional optimal control problems. The solution takes the form product consisting unknown coefficients and polynomials. Our main task is compute numerical values coefficients. To achieve goal, apply initial condition problem, Tau Lagrange multiplier methods. We do error ana...
The article provides an infrared and visible image fusion algorithm based on directionlets transform. The registered original images were decomposed into the low-frequency and high-frequency coefficients by directionlets transform. Getting the mean of the low-frequency coefficients, applying the local variance maximum principle to the high-frequency coefficients, thereby the fusion coefficients...
Medical image classification as an important research topic both in image processing and biomedical engineering. The ridgelet transform has good directional selective ability to locally and sparsely in representing the image compared with the traditional wavelet transform. This paper proposes a novel classification model for medical image, which is using ridgelet transform and dynamic fuzzy the...
nano-cus powders were synthesized with chemical solution method. xrd and sem and spectrophotometry were used for characterization of the cus powders. xrd analysis indicated that tetragonal cus was the main phase with particle size of 16.2nm and little cu2s phase was present. scanning electron microscopy (sem) analysis revealed that powder was plate like and had very little aspect ratio in morph...
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