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Several wavelet- and Gabor-based methods for template matching are proposed.
First, properties of several wavelet transforms and their relationships are analyzed.
Wavelet shrinkage denoising methods are frequently employed and several wavelet basis selection approaches have been discussed recently in the literature.
In the literature, various methods such as Gaussian filtering, Average filtering and several wavelet transformation based methods have been utilized in spectra de-noising [ 9].
There are several wavelet functions that can be utilized to develop the wavelet network model such as Morlet, Shannon and Mexican hat.
Riesz stability is important for several wavelet based numerical algorithms such as compression or Galerkin discretization of variational elliptic problems.
In this paper, several wavelet bases with differing properties are used to filter the scanning laser Doppler vibrometry images.
In particular, we provide in Table 9 the total recognition percentage using several wavelet filters in the case of full-class recognition for SNR = 1 dB.
In practice, the tampering may be sparse or compressible in more than one basis: this may be the case, for instance, of piece-wise polynomials signals which are generally sparse in several wavelet expansions.
Several wavelet-based algorithms have been proposed to detect signal singularities [22 24].
Besides GLCM-based features, we have also extracted several wavelet-based features.
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