RRT

说明：  在matlab环境中采用Bior小波对信号进行压缩降噪并对比(Matlab environment in the signal using wavelet compression Bior noise reduction and contrast)

文件中有一个经典guide编程案例，那是我用了一个晚上写的函数。因为调用了其它一些函数，我将其编译成*.dll。可以查看本函数代码，调试执行的是*.dll文件。因为函数是在matlab6.5下编译的，故在matlab6.1环境下无法演示。 其中涉及界面的创建，回调函数的调用，函数之间的参数传递，以及其它guide编程的处理方式。(document is a classic case programming guide, which is the one I used to write at the function. Call because of some other function, I will compile it into*. dll. This function can view code, debug the implementation of the document*. dll. Because the function is compiled under matlab6.5, so they are unable to matlab6.1 environment demonstration. Which involves the creation of the interface, a call to a callback function, function parameters between the transmission, guide and other programming approach.)

纯函数的选取包含保罗估计函数、纯调频信号、包络估计值等(Selection of pure functions include Paul estimation function, pure frequency modulation signal and envelope estimate, etc)

neural network using new development method to classifiy

说明：  这是一个等高线拟合的程序源代码,程序很复杂,但相当精致.不过其中有一处可能在有的机器上需要略微修改一下才能正常.(This is a fitting contours of the program source code, the procedures are complex, but very delicate. But which one might need some machines can be slightly changed a bit normal.)

simulink中的模块中中英文对照，十分详细，各个模块都有(The Chinese and English versions of the module simulink, very detailed, each module)

Astrodynamics library file crack

考虑你在哪里不同的传感器，桥上两侧的汽车造成的振动记录收集数据的情况。当你分析这些信号，则可能需要对齐。假设你有3个传感器以相同的采样速率工作，他们是造成同一事件的测量信号。(Consider a situation where you are collecting data different sensors, recording vibrations caused by cars on both sides of a bridge. When you analyze the signals, you may need to align them. Assume you have 3 sensors working at same sampling rates and they are measuring signals caused by the same event.)

用Matlab实现重叠保留法计算循环卷积的程序实例，课堂上完成的，希望有用(Using Matlab to achieve overlapping reservation method to calculate cyclic convolution procedure example, the completion of the classroom, and I hope useful)

just for learning.It s too easy to learn(for lerning)