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模式分类。包括:训练样本设计、模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类法-Pattern classification. Include: training sample design, template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classificat
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The entire training process BP neural network, High-resolution array signal processing estimates, There are good reference value.
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Linear array using cut than learning laid upon the right control of the main sidelobe ratio, ML estimation method can be a good signal to noise ratio, The entire training process BP neural network.
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