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

The entire training process BP neural network, High-resolution array signal processing estimates, There are good reference value.

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.