id3

提供多种路由方式，能很好对比节点间的定位效果，可以绘出节点的定位误差和节点间的连接图。(Offers a variety of routing can be a good contrast between the nodes positioning effect, you can draw the connection diagram of the the node positioning error and node.)

基于dq0的异步电动机仿真模型及起动过程的仿真(Asynchronous motor in dq0 simulation model and starting process-based simulation)

这是一个用simulink搭建的经典的跳频模型，对了解跳频有一定的帮助，模型，调试过了，没有问题。(This is a FH model in simulink.)

盲源分离的一个很好的例子，可以仿真出来用，稍微修改即可用到多处！(A good example of blind source separation, can be simulated to use, to modify slightly used at many points。 )

谱系聚类发 给定聚类点数可得到聚类中心 很好很强大(Hierarchical clustering distributed clustering fixed points can be obtained very powerful cluster centers)

通过本书可对pso有个全面深入地了解，为工程应用作准备(Through this book on PSO has a comprehensive and in-depth understanding for the engineering applications to prepare)

计算机控制理想最小拍控制器的设计实例，带有零阶保持器的对象。(Ideal for computer control of minimum film controller design example, with zero-order to maintain the target device.)

matlab求解非齐次poisson方程的fft快速算法，经测试在自己的机器上能算到对区域进行7000次左右的分段。(matlab fft fast algorithm for solving non-homogeneous poisson equation has been tested on the machine count to about 7000 times the segmented area.)

利用adapt函数对自适应滤波网络对时变正弦信号进行自适应预测。(Adapt the use of adaptive filtering function network for time-varying sinusoidal signal adaptive prediction.)

使用Matlab AR模型的LPC函数来做特征值提取。传统方法中LPC一般用来做语音处理。这里每100个数据来做LPC，用获得的N阶参数来作为振动信号的特征值。这样10000个样本可以获得100个特征值样本集。用这些样本集可以做神经网络分类(Matlab AR model LPC function to do eigenvalue extraction. Conventional method LPC generally used for voice processing. Do LPC, where each of 100 data is obtained N-order parameter as the characteristic values ​ ​ of the vibration signal. So 10000 samples can be obtained the 100 the eigenvalue sample set. Neural network classifier can do with these sample sets)