Andrea-Smit

By the harmonic elimination technique,we can solve for the switching angles of a half bridge to cancel the 5th, 7th, 11th and 13th harmonics by the Newton Raphson iteration technique.

Hill cipher encryption and decryption matlab code

使用matlab编写的将图片转换成avi视频的源程序代码，经本人在matlab2013b测试通过，低版本不一定适用，可以更改每秒播放的图片帧数(Using matlab to convert image to avi video source program code, via oneself in matlab2013b tests pass, low version does not necessarily apply, you can change the broadcast pictures of frames per second )

粒子群优化算法pso优化支持向量机svm(Particle swarm optimization algorithm pso optimization support vector machine svm)

用matlab实现的基于LSB的数字水印算法。算法可以在BMP灰度图像中嵌入水印，水印信息为二值图像，并将其扩展到与原始图像同样大小，进行重复嵌入，提高鲁棒性。同时算法中给出了PSNR值以评价水印图像的效果，(Using matlab realize the number of LSB-based watermarking algorithm. Algorithm can be embedded BMP gray image watermark, watermark information for the binary image, and its expansion to the original image the same size, the repetition of embedding, improve robustness. At the same time algorithm PSNR values are given to evaluate the effect of watermark images,)

This is a simple matlab routine that calculates a simulated multiplicative cascade process for a time series, then compares it with a real time series you want to analyze, and plots them both in log-log coordinates to compare them. You should have your time series in a format of double column listing: the ordinal member in the first column, the corresponding data in the second one. Then you change the file name that appears in the program for the name of your own file, and proceed.

也是一个MATLAB编的计算器,功能比较强大,易于扩展(MATLAB is a series of calculators, and more powerful functionality, easy expansion)

关于近来很火的灰色预测理论的matlab的源代码，移植性好，与诸位学友共同分享，共同进步(About the grey prediction theory recently very fire matlab source code, good portability, xueyou with share, make progress together)

粒子群算法的说明，以及它在解决多目标问题时候的先进性。(Particle Swarm Optimization)

里面包含了大量的matlab的应用实例，对初学者来说非常有用(Which contains a large number of matlab application, is very useful for beginners)