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- The most important thing in using CWT is to select proper wavelet base. 运用连续小波变换提取故障特征最重要的是选择合适的小波基函数。
- CWT has been used to analyze EEG in order to choose the most fitness wavelet basis. 该方法是利用连续小波变换来对EEG信号进行分析,选定一个最合适的小波基。
- Lighting,occlusion and BRDF functions are pre processed on Haar wavelet basis in PRT framework. 在PRT框架下，利用小波变换对光照、遮挡、BRDF等函数进行预处理。
- When the wavelet basis is bior 6.8 and the threshold method is sqwtolog,the effect of denoise quality with wavelet threshold method is the best one. 当小波基为bior 6.;8;sqtwolog阈值规则时;其消噪效果最优
- Though multiscale analysis is applied to logging data generally,the selection of wavelet base is not studied in detail. 多尺度分析方法在测井资料的处理中得到广泛应用,但没有对小波基的选取进行过详细研究。
- Through extensive experiments, the biorthogonal wavelet base (D5/3) is chose for real-time compression of remote sensing image. 实验结果表明D5/3双正交小波基最适合于遥感图像实时压缩,最后经实验验证其选取是合理的。
- Multi-scale analysis and wavelet transform theory are discussed, Different wavelet basis and scale are analyzed to the denoise of GPS dynamic monitoring data analyse. 摘要阐述了多尺度分析和小波变换的基本原理，分析了选择不同小波基对GPS动态监测数据去噪的效果。
- The wavelet theory was introduced.The residual signal from the gyroscope was decomposed by the different scale biorthogonal stationary wavelet base. 摘要在介绍小波分析理论的基础上，本文采用双正交静态小波基对陀螺仪去漂后的残差信号进行不同尺度的分解。
- To avoid the difficulties of applying nonlinear operators in the wavelet basis, we do the inverse transform to SWR and get a sparse point representation(SPR). 该方法借助于小波多尺度分析理论，构造了以二分点上的插值多项式为基础的插值小波基函数，在插值小波基上，函数在二分点上的值与小波系数建立了一一对应。
- Secondly, we utilize periodic cardinal interpolatory wavelet as directional orthogonal wavelet basis, which is sensitive to the direction, to locate the sound source. the result is presented. 对声音信号的位置进行了检测，给出了实验结果。
- Based on the analysis of features of wavelet base, the optimum wavelet base adaptable to mutiscale analysis is determined in well logging. 根据多尺度分析方法的要求,结合实测自然伽马测井曲线的特点,通过比较选定适合该方法的最优小波基。
- A new embedded zerotree wavelet based data compression method was proposed and applied to power system malfunction data compression. 摘要在小波包变换的基础上提出了一种新的基于嵌入式零树编码的数据压缩方法，并将其应用于电力系统故障数据压缩中。
- LBT costs 38% computation as the discrete wavelet based , and only buffers 1/15 data that DWT does. 该算法中LBT所需的存储开销不到DWT的1/15,计算量仅为DWT的38%25,基函数长度适中。
- In recent years, M-band orthonormal wavelet bases, due to their good characteristics, have attracted attention. M带正交子波基由于所具有的优良特性得到了广泛关注。
- In order to solve this problem,we introduce translation invariance for wavelet based de-noise technology in this paper. 为消除此类影响,文中将平移不变小波变换的念引入到小波图象降噪应用中。
- A wavelet based adaptive regularization scheme for blind image restoration is presented. 提出了一种将小波变换和自适应正则化方法相结合的盲图像复原算法。
- This paper presented a method of image classification using wavelet based on shape and texture. 摘要提出一种基于小波的形状和纹理联合特征的图像分类方法。
- A new method is presented to construct a kind of compactly supported biorthogonal wavelet based on human visual system. 构造了一个与人的视觉系统模型的调制转移函数相近似的紧支撑双正交小波基。
- The wavelet based wideband cross ambiguity function can be used for joint time d elay and Doppler stretch estimation. 基于小波的宽带互模糊函数可用来对宽带信号的时间延迟和多普勒伸缩进行联合估计,但它不能抑制相关高斯噪声。
- At the same time, the selection method of Wavelet bases and hierarchy number is also analyzed here. 同时，分析了在合成脉动风时小波函数基的选取方法和分层数的选取。
