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- A Control System Using Fuzzy Wavelet Basis Function Neural Networks and Hybrid Optimizing Algorithm 采用模糊小波基函数神经网络的控制系统及混合优化算法
- Detection of Two-phase Code Signal Based on New Wavelet Basis Function 基于新的小波基函数的二相编码信号检测
- Application of wavelet basis function neural network to offshore oil pipeline magnetic flux leakage defect inspection 小波神经网络在海底石油管道漏磁缺陷检测中的应用
- ELEMENT-FREE GALERKIN METHOD WITH WAVELET BASIS FUNCTION AND ITS APPLICATION IN ENGINEERING 小波基无单元法及其工程应用
- Extracting Characters of Defects in Buried Pipelines Using Wavelet Basis Function Neural Networks 采用小波基神经网络进行埋地管道缺陷特征提取
- wavelet basis function 小波基函数
- wavelet base function 小波基函数
- 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。
- Gauss linear frequency modulation wavelet is selected as base function to study wavelet spectrum, and its smoothed spectrum in time and frequency domain. 在前人工作的基础上,选用了高斯线调频小波作为基函数,研究了信号的小波谱,给出了小波谱在时间域及频率域的平滑谱并与傅里叶谱进行了比较。
- Among them, the Radial Basis Function( RBF) neural network is a better model. 在这些预测模型中性能比较突出的是径向基函数网络(RBF)法。
- 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。
- 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。
- Rather, the coefficient ratios between certain basis function are kept fixed at predetermined value. 更确切地说：一定基函数之间的系数的比值保持固定在预定值。
- 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。
- Surface basis function of edge element is derived and implemented to discretize the integral equation in this paper. 提出并推导了任意表面棱边单元法的基函数 ,其特性和三维棱边单元法一样 ,保持切向分量连续。
- 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。
- An elliptical basis function (EBF) network is proposed in this study for the classification of remotely sensed images. 椭球径向基函数神经网络(EBF)是在径向基函数(RBF)映射理论基础上的改进。
