implicit-function

各种经典图像处理算法的matlab源代码，初学者可以看看(A variety of classical image processing algorithm Matlab source code, beginners can take a look at)

《MATLAB统计分析与应用：40个案例分析》程序与数据(" MATLAB statistical analysis and applications: 40 Case Studies" program and data)

自己写的matlab小程序，改进了下euler。可以参考下(Their own small programs written in matlab to improve the next euler. Can refer to)

matlab/simulink组建汽车整车仿真平台，有详细说明(matlab/simulink formed vehicle simulation platform, has a detailed description)

VC和MATLAB的混合编程技术之一，matcom生成dll，vc成功调用的例子(One of a combination of VC and MATLAB programming technology, matcom generate DLL, VC example of a successful call )

自适应KF对航行器进行滤波，包括sage_husa,和简化的自适应算法。(KF adaptive filtering for aircraft, including sage_husa, and simplified adaptive algorithm.)

matlab计算两幅图片之间的psnr和ssim值，彩色图片，算法是转换为YUV计算的，YCbCr(matlab computing psnr and ssim value between two pictures, color pictures, the algorithm is converted to YUV calculation, YCbCr)

在数字信号的基带传输过程中，信息传输速率在满足香农公式的条件下还极大地受到码间干扰的限制(It is also limited by intersymbol interference when transmission speed of code accord with Shannon expressions in the course of baseband transmission of digital signal.)

本文的程序实现在屏幕上随机产生不同大小的雪花，并以不同的速度下降。相对于第一版，它在很多性能上做了优化，直接在桌面的上下文中绘制雪花。而且，现在也通过RedrawWindow，实现在桌面的图标(如任务栏)上绘制雪花了。你可以用它来学习GDI。(Falling Snow on Your Desktop! Part II This article explains how to create an application that makes it snow on the desktop. Since my previous article was published, I received many user inquiries about how to improve the program. This article demonstrates how to create snow flakes that fall on your desktop, by using the draw functions directly in the desktop context. When the application starts, it creates an array of snow flakes and starts the timers for each flake. Manipulation of the RedrawWindow function allows the drawing of flakes behind and over the desktop icons, making the application more impressive. )

高斯白噪声序列的产生-使用瑞利分布， C语言产生1000个点的高斯白噪声序列。(Gaussian white noise sequence to produce- produce 1000 using a Rayleigh distribution point Gaussian white noise sequence)