• 提出概念因子分解重构用于该瓶颈问题解决

    Decomposition and Reconstitution Methodology of Conceptual Genes was put forward to resolve this problem.

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  • 基于广义定位原理分解重构理论,构造产品自动化设计理论模型进行了软件系统实现

    Based the generalized locating principle and the decomposition and reconstruction principle, the theoretical model of product design automation is developed and the software system also achieved.

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  • 首次提出了基于同步公差设计概念结构设计优化理论,本质是自顶向下分解重构设计思想公差设计中的体现。

    The tolerance design in conceptual- structure design stage can identify the product problem, lessen the design rework, shorten the design period and reduce the cost.

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  • 为了克服噪声超声检测成像质量影响利用离散二进制小波变换分解重构算法降低脉冲噪声干扰提高超声图像的信噪比。

    To overcome pulse noise influence to image quality, discrete dyadic wavelet transform (DDWT) is used to reduce the noise influence and improve signal to noise ratio (SNR).

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  • 建议不要完全复制粘贴这里包含脚本至少应该考虑分解模板片段进行重构

    I dearly hope you don't copy and paste the included script without at least thinking about breaking it into template pieces and refactoring it.

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  • 初始服务分解重构使服务架构目标一致例如性能可伸缩性安全性等等

    Refactoring of the initial service decomposition, to align it with architectural goals, such as performance, scalability, security, and so on.

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  • 这个级别使用方法针对遗留系统进行了特殊设计,试图分解重构数据集成

    The approaches it USES are tailored to use legacy systems and attempt to dissect and re-factor through data integration.

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  • 第四详细讨论了利用区间正交根据小波分解重构来提取图像边缘特征一种方法

    The fourth chapter discusses in detail a novel method for edge feature detection of images based on wavelet decomposition and reconstruction by means of interval biorthogonal wavelet.

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  • 分解重构:《沙龙,押沙龙!》立体主义叙事

    Decomposition and Reconstruction: on Cubism Narrative of Absalom, Absalom!

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  • 这种方法通过滤波器信号分解重构实现趋向性信号与零均值平稳随机信号的分离

    Based on decomposition and reconstruction of the signals by filter sets, the trend-signal is separated from stationary stochastic signals.

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  • 异步电机转子断条故障检测,将原信号最优小波分解适应滤波后再信号重构

    During detection of asynchronous motor rotor-bar broken fault, the signal of current was reconstruct after decomposed by best wavelet packet and adaptive filtered.

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  • 介绍了分析基本概念二进小波的分解重构算法探讨了测井信号频谱特征

    The basic concept of the wavelet analysis, binary wavelet decomposition and reconstruction algorithm are introduced, and the peculiarities of the frequency of logging signal are discussed.

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  • 介绍采用小波变换进行信号降噪原理;利用小波分解重构函数轧机主传动轴应力扭矩信号进行降噪处理。

    In this paper, the theory of wavelet transformation in signal noise reduction is introduced, together with the algorithm of signal decomposition and reconstruction.

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  • 利用解调技术将设计通滤波器组转化为设计相对简单的低滤波器组问题,给出分解重构的系统流程。

    Each required bandpass filter is reduced to two lowpass filters which are relatively simple in design by using complex demodulation. The decomposition and reconstruction architecture are introduecd.

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  • 本文正交条小进行周化给出了周期正交样条小波分解重构算法

    In this paper, we first discuss the periodization of spline orthogonal wavelet, and then give the decomposition and reconstruction algorithms of the periodized wavelet.

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  • 构造正交尺度函数两尺度方程包含4因而相应分解重构算法也只有4项。

    There are only 4 terms in the corresponding refinement equations of the orthogonal scaling functions and the wavelets (and so do the decomposition and reconstruction algorithms).

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  • 本文给出区间连续多小定义此多小波包分解重构算法

    The present paper presents the definition of continuous multi-wavelet packets on the interval and gives the decomposition and reconstruction algorithm for these multi-wavelet packets.

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  • 利用提升格式研究空间域内构造问题,并得到基于提升格式下的小波信号分解重构计算方法

    Researching on how to construct the wavelet in space domain by lifting scheme, the thesis obtains the computation method of wavelet signal decomposition and reconstruction based on the lifting scheme.

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  • 模型采用活动分解分层递阶方法,使每一工作流系统问题复杂度得到降低增强了系统的重构能力。

    This model is based on activity decomposition and hierarchical methods and reduces the complexity of each workflow system and improves the reconfigurability of the overall system.

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  • 利用小变换将历史电价序列负荷序列分解重构概貌电价、细节电价和概貌负荷、细节负荷。

    Historical prices and loads were decomposed and reconstructed into approximate price series, detailed price series, approximate load series and detailed load series.

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  • 结果表明借助于小波分解重构有效地噪声干扰观测数据序列中提取变形特征

    Practical results show that, by using wavelet decomposition and reconstruction, this method can efficiently extract weak deformation characteristics from the observed data series having strong noises.

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  • 把径向函数单元分解原理综合起来,提出一种大规模散乱点云隐式曲面快速重构算法

    An efficient algorithm for implicit surface reconstruction for large-scale scattered data was proposed based on the combination of radial basis functions and partition of unity.

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  • 同时借助多相位分解,证明通道低通滤波器满足完全重构条件

    Meanwhile, by polyphase factorization, it was proved that the low-pass filter satisfies perfect reconstruction condition.

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  • 采用设计预测器更新器监测数据分解阈值处理重构得到监测数据的趋势

    By using the devised predictor and updater for second geueration wavelet transform composition, threshold processing and reconstruction, the data trend can be obtained.

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  • 利用这种信号分解重构算法在南芬露天矿爆破地震信号噪声处理中,取得效果

    This signal decomposition and rebuilding algorithm was used in processing the blast - caused seismic signal noise of Nanfen Iron Open - pit Mine, which achieved good noise subtracting effect.

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  • 给出变换基本模型基础上,探讨了采用小波正交分解重构进行遥感信息融合基本原理

    Base on the basic model of orthogonal wavelet transforms, principle of remote sensing image fusion is discussed by using orthogonal wavelet decomposition and reconstruction in this paper.

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  • 重点分析了高斯金字塔拉普拉斯金字塔、对比度金字塔小波金字塔图像分解重构中的原理及其融合算法

    The principle of image decomposition and reconstruction based on Gauss-pyramid, Laplacian-pyramid, contrast-pyramid and wavelet-pyramid is emphatically analyzed, as well as the fusion algorithm.

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  • 为此提出一种面向复用成本优化的、基于局部性原理实例分解构件重构方法

    For this purpose, this paper presents a reuse cost optimization oriented, locality principle and instance set decomposition based component refactoring method.

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  • 系统信号首先不同频带进行分解然后分别进行数据压缩数据重构

    In this system, the signal is decomposed on different frequency bands, then data compression and data recomposition are performed respectively.

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  • 系统信号首先不同频带进行分解然后分别进行数据压缩数据重构

    In this system, the signal is decomposed on different frequency bands, then data compression and data recomposition are performed respectively.

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