Results 21 to 30 of about 734,107 (170)
介绍了二进小波变换的基本原理及其滤波特征,采用二进小波函数对变压器中含强载波干扰的局放信号进行了小波变换。仿真结果表明,二进小波变换能消除强载波干扰,能准确地检测出局放脉冲信号的幅值及其发生的时刻。
李祥飞, 邹恩, 邹莉华
doaj
Overreliance on Orthographic Similarity in L2‐Japanese Conceptual Processing by L1‐Chinese Learners
ABSTRACT Orthographic and phonological similarities between first (L1) and second (L2) languages can facilitate L2 processing. Particularly, L1‐Chinese learners of L2‐Japanese can benefit from the shared morphosyllabic Chinese characters (Japanese kanji/Chinese hanzi) because of their similar orthographies.
Xuehan Zhao, Kexin Xiong, Sachiko Kiyama
wiley +1 more source
用于小波分析的各种小波中,复高斯子波是一类特殊而重要的小波,作者先研究了复高斯子波的基本性质,接着简述了连续小波变换数值实现中复高斯子波起始尺度确定的基本原理,最后分析出均匀点格采样时连续小波变换数值实现中复高斯子波起始尺度的最佳取值.理论分析和计算结果表明:复高斯子波是一类对称的、有n阶消失矩及良好时-频局域化特性的小波,可广泛用于故障诊断,数据压缩,信噪分离等场合.同时,复高斯子波起始尺度的确定为信号复高斯子波分析的工程实现和理论研究解决了难题.
徐媛媛 +4 more
doaj
ABSTRACT MXenes have been widely investigated as microwave absorption (MA) materials because of their unique properties. This study introduces a terminal bond manipulation strategy to enhance charge transfer and polarization in Ti3C2Tx, optimizing its MA performance.
Xiang Fang +8 more
wiley +1 more source
在铁路MOA在线监测系统中,铁道电网的高次谐波含量大、频率不稳定、电压波动大,使在线监测系统存在大量的干扰、噪声等问题。引入了提升小波理论,这是一种新的理论,与经典小波变换相比,具有小波构造简单、运算速度快和节省存储空间等优点。提升小波理论继承了第一代小波多分辨率的特性,不依赖傅立叶变换,很容易从正变换得到反变换。把提升小波理论应用到铁路MOA在线监测系统中,可以解决数字滤波、去除干扰和噪声等问题。运用MATLAB7.0对其进行仿真,得出提升小波是一种更为有效的分析方法。
李敏, 刘明光, 李光泽
doaj
ABSTRACT Metal oxide‐based catalysts for oxygen reduction reaction (ORR) have drawn great attention in recent years. However, it remains technically challenging for the precise regulation of the overall performance due to the trade‐off effect among the activity, selectivity, and stability of electrocatalysts. Herein, a balancing strategy to control the
Haoran Ma +7 more
wiley +1 more source
小波网络是近年来神经网络研究中的一个新分支,是结合小波变换理论与神经网络的思想构造的一种新的神经网络模型。笔者构造的前馈小波神经网络是将小波分析与BP神经网络融合,以Gauss小波及其伸缩平移系作为隐含层小波基函数并且对小波神经网络做了一些改进。选择了300组油中溶解气体含量作为前馈小波神经网络训练及故障识别的样本,并对仿真结果进行分析。实验结果显示:文中构造的小波神经网络适合变压器故障诊断,其性能优于改良IEC法,传统BP神经网络法和基于主成分分析法的BP神经网络 ...
方健, 彭辉, 李自品, 舒乃秋
doaj
Riesz basis-based reproducing kernel and SVM(基于Riesz基的再生核及支持向量机)
在支持向量机(SVM)技术中,再生核的选择起着重要作用.利用L2(R)中的一组Riesz基构造再生核,并将其推广到应用广泛的正交小波.在基于正交小波的再生核Hilbert空间中考虑函数的正则化逼近,对基于正交小波再生核的SVM结合小波分析进行探讨,得到SVM的离散逼近,离散细节均只与支持向量有关.
ZHOUDe-qiang(周德强) +1 more
doaj +1 more source
The Microstructure Evolution and Mechanical Properties of (FeCoCrNi)100‐x(AlCu)x High‐Entropy Alloys
ABSTRACT This study systematically investigates the effects of AlCu addition on the microstructural evolution and mechanical properties of (FeCoCrNi)100‐x(AlCu)x (x = 0, 5, 10, 15, 20; at%) high‐entropy alloys (HEAs). The results reveal that the microstructure evolves from coarse equiaxed to refined equiaxed, dendritic, and ultimately dual‐phase ...
Shunfu Xie +7 more
wiley +1 more source
ABSTRACT The construction of p–n homojunctions represents a promising strategy for effective solar‐driven photocatalytic hydrogen evolution, owing to their inherent advantages of superior lattice matching and minimized charge transfer resistance. However, this approach remains largely unexplored.
Yueqiang Lin +6 more
wiley +1 more source

