Stationary wavelet transformTwo-directional two-dimensional principal component analysisFeature extractionPattern classificationElectromygraphic signalIn this study, a stationary wavelet-based two-dimensional two-directional PCA (SW2D~2PCA) approach is presented to efficiently and effectively extract essential ...
The use of stationary wavelet transform in crack detection has been investigated in [24]. The combination of Ritz method and wavelet analysis has been proposed by Gallego et al. [25], where a new damage index based on the residual value between the wavelet results and the result generated ...
dwt-discrete-wavelet-transform.rst idwt-inverse-discrete-wavelet-transform.rst index.rst other-functions.rst signal-extension-modes.rst swt-stationary-wavelet-transform.rst thresholding-functions.rst wavelet-packets.rst wavelets.rst regression COPYING.txt ...
pywt.wavedec2(data, wavelet, mode='symmetric', level=None) Multilevel 2D Discrete Wavelet Transform. Parameters: data : ndarray 2D input data wavelet : Wavelet object or name string Wavelet to use mode : str, optional Signal extension mode, see Modes (default: ‘symmetric’) level : in...
The AR model yields a linear approximation to the temporal evolution of a stationary stochastic process. Generalized Gaussian Density (GGD) parameters, extracted from 2D wavelet transform sub bands, are used as the spatial features. Wavelet transform efficiently resembles the Human Visual System (HVS)...
Stationary wavelet transform (SWT) was designed to complement the translation-invariance, achieved by removing the down-samplers and up-samplers in the discrete wavelet transform and up-sampling the filter coefficients [48]. The signal size remains constant in the decomposition procedure. Keeping the ...
为了解决密间隔电位检测技术对管道防腐层微小破损点检测效果不佳的问题,应用有限元方法建立管道杂散电流模型,提取管道防腐层发生微小破损的断电电位信号.提出基于平稳小波变换(Stationary Wavelet Transform,SWT)的断电电位信号分析方法,将信号通过平稳小波分解得到细节系数,细节系数中包含的防腐层微小破损点信息清晰可见.利用软...
Learning based approaches are proposed to segment medical images as well. Aganj et al. [30] proposed the local center of mass based method for unsupervised learning based image segmentation in X-ray and MRI images. Kanimozhi et al. [31] applied the stationary wavelet transform to obtain the ...
Such stationary curves are locally minimizing. A global minimizer of (1) is referred to as minimizing geodesic or minimizer. 1.2 Geometry of the Reeds–Shepp Model We introduce the Finsler metric \mathcal {F}_0 underlying the Reeds–Shepp car model and the Finsler metric \mathcal {F}_0^+...
A new method based on the discrete wavelet transform (DWT) for sound quality estimation (SQE) of nonstationary vehicle noises is presented in this paper. S... YS Wang - 《Journal of Sound & Vibration》 被引量: 71发表: 2009年 Distributed Fusion Estimation for Multisensor Multirate Systems ...