By making up of time-frequency local property and multi-scale analytical capability of wavelet transformation and self-learning and prediction function of artificial neural network,chapter three develops a prediction model loose combining wavelet analysis and Radial Basis Functionsneural network,abbreviated as Wavelet-RBFNN.

第三章利用小波變換的時頻局域化特性和多尺度分析能力及神經網絡的自學習黄片久久免费看aV、預測功能影音先锋每日资源站，通過小波分析與神經網絡的松散型結合方式无遮无挡爽爽免费视频毛片，建立小波分析和徑向基函數神經網絡(Wavelet-RBFNN)預測模型日韩在线观看午夜福利中文。

Besides, as to inpainting problem in wavelet domain, we introduce a new iterative model. In this model low frequency and high frequency will carry on processing separately, enormous speed up the image repair convergence rate, and even if as high as 90% wavelet coefficient have been lost, this model will also be able to have the very good repair effect. In the old model, to compute the curvature we have to transform the coefficients to the pixel domain, and then transform back to the coefficient domain for several times and this method can solve this problem and speed up the iterative convergence.

其次針對小波域中圖像修復的問題，本文提出了一種新的小波域圖像修復模型AAAAAA片毛片，該模型根據小波變換后系數相關性的特點九九r视频，將低頻和高頻分別進行處理，極大的加快了圖像修復的收斂速度亚洲精品二区中文字幕，并且即使丟失高達90%的小波系數A片β片毛片免费视频，該模型也會有很好的修復效果，有效的解決了傳統(tǒng)的TV- Wavelet模型在計算圖像的平均曲率WCURV時操一操在线，需要反復進行小波分解與重構的計算91视讯亚洲一二三区，迭代速度慢的問題。

In this paper, a speckle reduction method for Synthetic Aperture Radar images based on Dual Tree Complex Wavelet Transform is proposed, for the DTCWT has approximate shift-invariant and good directional selectivity.

利用雙樹復數小波變換(Dud Tree Complex Wavelet Transform免费AV黄片， DTCWT)的近似平移不變性和多方向選擇性强奸a片久久a，提出了一種基于DTCWT變換的SAR圖像嗓聲抑制方法。

Chapter two studied the Wavelet-Galerkin method tailored to solve the initial boundary value problem of one-dimention heat conduction equation.

第二章研究了一維熱傳導方程的初邊值問題的Wavelet-Galerkin方法一区无码在线。

Firstly, Wavelet-Galerkin algorithm for solving the first kind of singular integral equation with the Hilbert kernel is proposed, we use the characteristic of periodic wavelet on L~2([0,1]) and Hilbert kernel to solve and make stiff matrix lower dimensions and become sparser through thresholding,thus the cost of computation is reduced. Because of the singularity of Hilbert kernel we use Tikhonov regularization method to solve the system of stiff equation. At last the convergence and numerical result of approximate solution are given. Secondly, an approach of regularization based on Fourier is presented for sideways heat equation; we give the theory proof and error estimate.

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Using the estimation of marginal and joint statistical distribution of Contourlet coefficients via the method of maximum likelihood estimator, multiplicative watermarking and blind detection framework is presented in the Wavelet transformation domain and the Contourlet transformation domain.

采用極大似然估計的方法對Wavelet變換和Contourlet變換系數的邊緣分布和聯(lián)合分布進行擬合，提出了一種Wavelet變換域和Contourlet變換域乘嵌入水印及盲檢測框架5060网午夜一级毛片免费视频。

The magnitude of sliding mode switching gain is the key reason causing system chattering. Self-recurrent wavelet neural networks is used to estimate sliding mode switching gain on-line, which can reduce chattering caused by sliding mode control effectively.

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The basic idea of Frequent-Wavelet is to pass time series through the atrous smooth filters set, and then cluster the derived subsequences, so the problem of FTS mining is converted to the problem of FIS mining.

Frequent-Wavelet算法的基本原理是使時間序列通過多孔平滑濾波器組，然后對來自多個尺度序列的子序列進行聚類www.jizz.com中国破处，從而將時間序列的頻繁模式挖掘問題轉化為項目序列的頻繁模式挖掘問題免费黄色网业大全。

In comparison with the drawbacks related to the Fourier Transform and Smoothed Instantaneous Wave Energy History(SIWEH, the Wavelet Transform will be show to be much better suited for analyzing wave shoaling In which signal is believed to be non-stationary and wide band.

在使用小波轉換作為分析波浪工具之前，我們選擇 Morlet wavelet、Paul wavelet與Gaussian三種型態(tài)之小波函數進行討論黄片69，最終考慮視窗面積之大小国产欧美亚洲另类第三十页、復數型態(tài)之小波函數及頻率視窗的集中度，而以 Morlet wavelet較適合分析波浪91夜色精品国产网站。

LDoS (low-rate denial-of-service) attacks are stealthier and trickier than the traditional DDoS attacks. According to the characteristic of periodicity and short burst in LDoS flows, a detectionsystem DSBWA (detection system based on wavelet analysis) against LDoS attacks has been designed andimplemented based on feature extraction using wavelet transform.

低速率拒絕服務攻擊(low-rate denial-of-service国产激情视频久久久，簡稱LDoS)比傳統(tǒng)的DDoS攻擊更具隱蔽性和欺騙性，依據其周期性脈沖突發(fā)特點国产精品一级毛片www，設計實現(xiàn)了一種基于小波特征提取的LDoS 檢測系統(tǒng)DSBWA(detection system based on wavelet analysis)国产爆乳日韩精品视频迅雷下载。