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此示意程序用DWT实现二维小波变换 1.调原始图像矩阵 2.进行二维小波分解 3.分解结果显示 重构源图像及结果显示 (This indicated the procedure using two-dimensional wavelet transform DWT realize one. Transferred the original image matrix 2. To carry out two-dimensional wavelet decomposition 3. Decomposition results show that reconstruction of the source images and results show)

说明：  本代码利用小波变换，实现了两幅图像的融合，使用了小波分析工具箱wavemenu，使用了小波分析函数wavedec2()进行小波变换(The code using wavelet transform, to achieve a fusion of two images, using wavelet analysis toolbox wavemenu, using wavelet analysis function wavedec2 () wavelet transform)

小波分析在心电信号去噪中的应用,小波变换在心电图数据处理中的应用研究(Wavelet analysis of ECG signal denoising)

将图像按位平面分解，然后在最低有效为嵌入一定的信息，达到数字隐藏的作用，是最原始的数字水印技术(image caput plane decomposition, and then embedded in the lowest effective for certain information, to hide the figures, is the most primitive digital watermarking technology)

小波神经网络实现短期电力负荷预测，神经网络模型及其BP学习算法。 (Wavelet neural network short term load forecasting, neural network model and BP learning algorithm.)

提升小波包学习资料，对了解学习提升小波包，研究算法的改进很有帮助(Lifting wavelet package learning materials, learning to enhance the understanding of wavelet packet of helpful Algorithm)

一种基于改进谱减法的语音去噪新方法，对于想学习谱减法的同学有很大的帮助(A kind of based on improved spectral subtraction speech denoising, a new method to want to learn the spectral subtraction classmates have a lot of help )

小波变换的程序包括小波变化 小波分解小波包分解程序(Wavelet transform procedures include wavelet transform wavelet decomposition wavelet packet decomposition program)

说明：  提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。(A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was proposed. The phase of vibration signals of gears is got by complex analytical wavelet transform, which combines Hilbert transform with wavelet transform tightly and possesses adaptive analysis ability. By making spectrum analysis of the phase, the sideband structure in power spectrum can be protruded, and the fault pattern can be identified. Experimental results show that the proposed method is effective in local defect detection of gears.)

MATLAB实现小波变换中的图像拼接技术，可实现水平拼接(In MATLAB wavelet transform in image stitching technology, can achieve the level of splicing)