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对输入图像进行预处理后提取目标轮廓，经过归一化处理得到目标形
状的平移、尺度不变的链状表达，再通过小波变换进行多尺度分析；引入Zernike 矩，利用Zernike
矩的特性，实现小波表达的旋转不变性，解决了小波变换对起始点的依赖。-right to import images from pretreatment profile targets, after processing to be a target shape translation, The scale-invariant
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This paper presents a new approach to deal with
the translation- and scale-invariant problem of discrete wavelet
transform (DWT).
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Image denoising with wavelet
We first load an image, and add some noise to it
The orthogonal wavelet transform is not very efficient for image denoising because it lacks translation invariance. This is why there is so many reconstruction artifact
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Quincunx wavelet transforms
Quincunx wavelets are non-separable transform that allows to avoid using vertical/horizontal wavelets. The scaling grows like 2^{j/2} with the scale j instead of 2^j, which can be advantageous.
Biorthogonal quincunx w
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利用emd对一维信号进行去噪的最新程序。包含了三种emd去噪方法：1、直接使用小波阈值，进行硬阈值去噪；2、使用具有emd分解特性的阈值去噪；3、emd分解后的平移不变去噪。-Using emd on one-dimensional signal de-noising of the latest procedures. Emd contains three kinds of de-noising methods: a direct use of wavelet thresholding to c
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Function to plot the Region of convergence for Suprathreshold stochastic resonance+Translation invariant wavelet packet transform detector for transient signals. Hypotheses:
Ho : x[n] = w[n] i.e. signal absent
H1 : x[n] = s[n] + w[n] i.e. signal
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Function to plot the region of convergence for a stochastic resonance detector followed by a translation invariant wavelet packet transform detector for transient signals in shallow oceans.
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利用平移不变量发，实现小波阈值去噪，能够有效的消去伪吉布斯现象，利于后续的特征点提取。-The use of translation invariant issued to wavelet threshold denoising can effectively eliminate the Gibbs phenomenon, and conducive to the subsequent feature point extraction.
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对输入图像进行预处理后提取目标轮廓，经过归一化处理的到目标形状的平移、尺度不变的链状表达，再通过小波变换进行多尺度度分析；引入Zernike 矩，运用Zernike矩的特性，实现小波表达的旋转不变性，解解决了小波变换对起始点的依赖。
-Preprocessing the input image to extract the target contour, after normalized to the translation of the target shape scale-invaria
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基于平移不变量小波去噪的GUI程序，平移不变量小波去噪是阀值去噪的进一步改进，去除了信吉布斯现象-Translation invariant wavelet denoising based GUI program is translation invariant wavelet denoising threshold denoising further improvement, in addition to the letter Gibbs phenomenon
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平移不变小波去噪程序演示 以平移不变小波为平台,所用是作者自己改进的bayesShrik算法
-Translation invariant wavelet denoising demo In translation invariant wavelet as a platform, is used by the author himself bayesShrik algorithm improvement.
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利用平移不变量进行小波去噪，对信号的处理很好，值得你去看看。-The use of translation invariant wavelet denoising, signal processing is very good, worth a look.
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基于SIDWT的医学图像融合算法，详细叙述了平移不变小波分解原理，提出一种新的基于SIDWT的融合算法-Based on the SIDWT medical image fusion algorithm, the principle of translation invariant wavelet decomposition is described in detail, and a new fusion algorithm based on SIDWT is proposed
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总结了一些平移不变量法进行小波去躁的文献(Summed up some translation invariant method for wavelet to impatient literature)
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三种emd去噪方法：1、直接使用小波阈值，进行硬阈值去噪；2、使用具有emd分解特性的阈值去噪；3、emd分解后的平移不变去噪。(Three kinds of EMD denoising methods: 1. Direct use of wavelet threshold for hard threshold denoising; 2. Use of threshold denoising with EMD decomposition characteristics; 3. Translati
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