juzhendaquan

结合混沌搜索的进化算法，利用logistic混沌映射与进化算法的结合解决问题(Logistic chaotic improvements)

基于压缩感知理论对单音频信号以低于奈奎斯特频率进行采样处理(Based compression perception theory, single audio signal sampling below the Nyquist frequency)

用于车辆弯道避障的仿真试验，本文件包含主程序和两个函数(Obstacle avoidance for vehicle turn simulation test, books document the main program, in addition to the two functions)

遗传算法程序，很实用，高人编程。有详细的程序注释，可以供参考(It compares the effects of early warning using BP Neural Network before and after the rank sum test, sampling the listed companies in Shenzhen and Shanghai SecurityMarkets. The results showthat BP neural net- work model has good application value to the warning for financial distress of China’s listed companies. Especially, )

径向圆跳动误差评定，方法包括最小条件法，最小区域法，端点法，提高误差评价精度。(Radial circular runout error uation methods, including minimum condition method, least square method, the endpoint method, improve the error estimation accuracy.)

连接一起的下半部分是传统一次调频系数的仿真，参数如算例所示，上半部分是其改进一次调频系数后的仿真，最后由示波器观测波形的不同。(The lower half of the connection is the simulation of the traditional primary frequency modulation coefficient. The parameters are shown in the example. The first half is the simulation after the improvement of the primary frequency modulation coefficient, and finally the waveform is observed by the oscilloscope.)

选择两个函数做卷积运算，本实验里可供选择的函数有矩形窗函数，锯齿波函数和sinc函数，观察选取函数的波形(Select convolution of two functions to do this experiment choice of function has rectangular window function, sawtooth wave function and the sinc function, observe the waveform selection function)

说明：  matlab辅助小波分析与应用的源码，包含了一些常用的小波分析常规算法和快速算法，能有效帮助学习小波分析(Matlab support wavelet analysis and application of the source code contains a number of commonly used conventional wavelet analysis algorithm and fast algorithm, can help learning wavelet analysis)

实现并比较不同梯度边缘检测方法(普通梯度、Robert、Sobel、Prewitt、Laplace、LOG和Canny) (Implementation and compare the different gradient edge detection method (general gradient, Robert, Sobel, Prewitt, Laplace, LOG, and Canny))

unit conversion file in simulink