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mother wavelet中文是什么意思

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用"mother wavelet"造句"mother wavelet"怎么读"mother wavelet" in a sentence

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  • 母小波

例句与用法

  • Wavelet discussed in this paper is a basis of l2 or other spaces created by a function ( mother wavelet ) expand and contract and shift
    本文讨论的小波是指由一个函数(母小波)经过伸缩与平移所产生的l ~ 2或其它空间的基底。
  • The writer analyzed mallat three criteria and introduced the optimized function based on these three criteria , at last found optimized mother wavelet for edge detection . at the end of this chapter single edge searching method based on local maximum is introduced and gained ideal edge image
    分析mallat提出的评价边缘检测函数优劣的三个判别函数,利用这三个判别函数列出最优化方程,推导出边缘检测最优小波,最后创造性提出局部最大值单像素边缘搜索法,提取出单像素宽度边缘图像,图像效果达到了满意的效果。
  • E there is one - to - one map between the mathematical formulation and circuit realization , and that the method is systematic and suited for designing the network function with zeros and high - order filter . at last , the limitation and applied fields of the methods for realizing one - dimension cwt based on state - space log - domain filter are pointed out , it is also proved by the theoretical analysis and calculation results that the methods are suited for synthesizing the wavelet functions with very small scale or the frequence - transloction version of the mother wavelet ( with much translocation in frequence - domain )
    论文还给出了用状态空间对数域滤波器实现一维连续小波函数的限制条件,并指出了这种实现方法的应用范围,理论分析与计算结果表明该方法适合用于实现尺度很小的小波函数或由原基小波经频谱搬移(搬移程度较大)后的小波函数。
  • The simulation analysis using the ideal spectrum signal prototype which is constructed based on the infrared ray spectrum of octane level measure indicates that this method gives better signal to noise ratios and performance index ( g ) than conventional wavelet thresholding method via different kinds of mother wavelets
    仿真实验结果显示,对于不同的小波母函数,采用该方法去噪后的结果优于未经能量元转换的原方法,而且对于含有较高频信息的信号,该方法的结果比原方法明显更优越。
  • By integrating conventional fourie transformation with the smooth average method of spectrum , the high frequency noise was not only removed , but also the signal was smoothed and the main frequency of the signal was found easily and then was extracted as the coarse features of the signal . on the basis , in order to analyze the detail features of the signal , the signal can be decomposed using the db6 mother wavelet function
    在谱分析方法的傅立叶变换中引入平滑平均法对蜂窝结构材料和纤维增强材料声-超声检测信号进行处理,不仅可以有效地去除信号的高频噪声,而且可以平滑信号,突出检测信号的主频,实现了对检测信号“粗信息”特征的提取;在此基础上,合理选用db6小波基函数,对信号进行小波分解,对信号的特征进行进一步的细微分析。
  • My principal work is these : transforming image in wavelet at first , then encoding wavelet coefficients in sofm arithmetic methodology , lbg arithmetic methodology , dpcm encoding step by step , wavelet zero tree compression separately , reconstructing the image at last , so researching how to improve compression ratio , hi addition , the article puts forward a new arithmetic methodology , sl arithmetic methodology , on the base of comparing sofm arithmetic methodology with lbg arithmetic methodology what it needs emphasis is the variety of reconstructed image because of the diversity of mother wavelet
    本人所做的工作主要围绕着这样的步骤:将图像数据先进行小波变换,然后分别应用sofm算法、 lbg算法、 dpcm分步编码、小波零树压缩等对图像小波系数进行编码,最后重构图像。 akqnk44 wa从而研究如何能够提高图像压缩比,并比较了各算法在图像压缩中的特点。另外,根据sofm算法、 lbg算法在图像压缩中的各自特点,提出了一种新的算祛一七l算法。
  • It also studies the influencing factors including sampling frequency , pd waveform , decline time , time intervals between pd pulses , mother wavelet , center frequency of interference , entropy threshold value and snr . in addition , it applies wavelet packet method ( wpm ) for non - stationary signal de - noising in on - line pd monitoring and analyzes the processing results under different pd waveform , sampling frequency and noise level . firstly , the curve of pd
    基于小波包变换的非平稳信号消噪算法( wpm )已较为成熟,本文将其应用于局部放电在线监测,通过研究其对不同局放波形、采样率、噪声水平下的处理效果,首次提出了理想白噪声条件下提取局部放电信号的曲线,分析了各种因素对该算法下信号失真的影响。
  • In this paper , i studied the theory of wavelet in the field of sensor faults diagnose . then i discuss the effects that using various kinds of mother wavelet detect sensors faults in the concrete simulated example . at last , we studied the application of combining the wavelet and bp neural networks to sensors failure detection and simulated sensor faults diagnose by the computer
    本文主要研究了小波分析在传感器故障诊断中的应用,详细地探讨了各种小波基函数在传感器故障诊断中的应用,并通过具体的仿真实例对各种小波基函数在传感器故障检测中的效果进行验证,最后研究了结合小波分析和bp神经网络进行传感器故障诊断的技术,同时做了计算机仿真诊断。
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