Sommaire

这是parzen窗估计的典型例子，大家可以直接学习，是个不可多得的好材料。(This is a typical example of the estimated parzen window, we can learn, is a rare good material.)

利用牛顿多项式插值法观察多项式的龙格现象。(Newton polynomial interpolation polynomial Runge phenomenon observed.)

有matlab和vc联合编程实现kd树实现过程，附有它们之间转化用的max文件和动态链接库dll文件。(Matlab and vc are the joint programming process to achieve the realization of kd tree, accompanied by their transformation with the max files and dynamic link library dll file.)

图像的二维小波分解与重构，dwt2函数和idwt2函数的应用(Two-dimensional image wavelet decomposition and reconstruction, dwt2 function and function application idwt2)

惯性导航解算，得出飞行器的经度纬度高度，陀螺仪和加速度计的值(Inertial Navigation Solution, the longitude, latitude, altitude, gyroscope and accelerometer of the aircraft are obtained.)

告诉支路阻抗的节点导纳矩阵求解的通用程序。(Tell branch node is the impedance matrix of the general program admittance)

阵列对接收的宽带噪声调频信号采用极大似然法测向(For wideband noise frequency modulation signal received by the array,using the maximum likelihood method to estimate the AOA)

说明：  BP网络是通过输入层到输出层的计算来完成的。多于一层的隐含层虽然能在速度上提高网络的训练,但是在实际应用中需要较多的训练时间,而训练速度可以用增加隐含层节点个数来实现,因此在应用BP神经网络进行预测时,选取只有一个隐含层的三层BP神经网络就足够了。(The BP network is completed through the calculation of the input layer to the output layer. Although the hidden layer of more than one layer can improve the training of network in speed, more training time is needed in practical application, and the training speed can be realized by increasing the number of hidden layer nodes. Therefore, when the BP neural network is used to predict, the three layer BP neural network with only one hidden layer is sufficient.)

一个用matlab编写双线性法求图像的放大与 缩小的小程序(Matlab bilinear used to prepare a method of shrinking the image to enlarge a small program)

是matlab编程风格的好文章。读者可以通过这篇文章提高自己matlab代码的书写效率(Matlab programming style is a good article. Readers of this article can improve their efficiency in writing code matlab)