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本文运用了神经网络中的自组织向量机和小波变换相结合，实现了图象的压缩，通过训练样本，得到好的结果-In this paper, the neural network of self-organizing vector machine and wavelet transform combining image compression achieved through the training samples obtained good results
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针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即:
使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗
配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基
于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合.
-For visible light and infrared images of the characteris
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基于高波小波特征提取和神经网络的人脸检测Matlab源码。-Based on high-wave wavelet feature extraction and neural network face detection Matlab source code.
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用小波神经网络变换对时间序列信号进行预测，并做了测试，效果很好，请参考-Transform using wavelet neural network to predict the time series signal, and do a test with good results, please refer to
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在matlab中对大量的轴承故障的特征信号进行小波包分解，提取特征值，并建立神经网络训练，最终可由网络进行故障的分析-In matlab large number of bearing fault characteristic signal wavelet packet decomposition, extract characteristic values, and the establishment of neural network training, and ultimately by
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基于小波神经网络的非线性函数逼近，及其MATLAB程序(Approximation of nonlinear function based on Wavelet Neural Network)
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Wavelet packet analysis to extract vibration signal characteristic frequency, Is a two hidden layer back propagation neural network, Fractal dimension calculation algorithm matlab code blankets.
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