fd1d_heat_steady

三篇经典的关于ofdm相位噪声抑制的外文资料，是大师的作品，很有参考价值，我考过好几次，受益匪浅。(Three classical phase noise suppression on ofdm foreign materials, is the master work, a good reference, I test several times and benefit.)

传感器系统的偏差估计方法，包括批处理最小二乘和递推最小二乘的实现代码。(The code realize the deviation estimation methods of the sensor system, including batch least squares and recursive least squares implementation.)

关于bpsk 的一些代码，一个很牛的人写的，非常值得一看(bpsk read)

：为了提升自动控制原理课程的教学质量，改善解决课程中计算复杂、公式繁杂、难以理解等问题，我们将Matlab 仿 真技术运用于这门课程中，这款软件有助于提高学生的主动性和兴趣，促进学生分析理解问题和解决问题的能力。文章 主要介绍了Matlab 的概述和特点，Matlab 仿真技术在自动控制原理课程教学中的应用和实例等内容。(: In order to improve the quality of teaching automatic control theory courses, courses to improve the computational complexity of solving the formula complicated, difficult to understand and so on, we will Matlab simulation technology used in this course, this software helps improve students' initiative and interest, promote students' ability to analyze and understand the problem and solve the problem. The article describes an overview of the content and features of Matlab, Matlab simulation technology in teaching automatic control theory and examples of applications and so on.)

Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重： 如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻起负面作用，则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules: If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)

利用fft2对图像傅里叶变换，在用lpfilter生成高斯低通滤波器，进行过滤再进行反变换最后显示(Use fft2 the image Fourier transform, in with lpfilter generate Gaussian low-pass filter for filtering the inverse transform last displayed)

shrodinger solving with matlab

多天线技术MIMO的vblast编码，实现信道编码(MIMO vblast encoder)

有关书中的一些matlab源程序，使新手明白程序过程(The book matlab source, so that novice to understand procedures process)

Chebfun找到一个类似的问题已经解决了别人使用作为一个模板。这一页将你们连接到几十个这样的模板,称为Chebfun例子。每一个例子是一个M-file生产文本和/或图形输出,执行,在大多数情况下,在少于5秒。你也可以执行的例子,用Matlab命令的出版得到一个包含更多的信息的故事。一类开路(出版(“文件名”))去看在你的屏幕上最快的版本或出版(“文件名”)为一个更好的格式化乳胶版本,它将出现在一个目录叫做html。公布的产量也可直接下载作为一个pdf档案。(The quickest way to solve your problem with Chebfun may be to find a similar problem someone else has solved to use as a template. This page connects you to dozens of such templates, called Chebfun Examples. Each example is an M-file producing text and/or graphical output which executes, in most cases, in less than 5 seconds. You can also execute the example with Matlab s PUBLISH command to get a more informative story. Type open(publish( filename )) to see the quickest version on your screen or publish( filename , latex ) for a better formatted LaTeX version, which will appear in a directory called html. The published output is also available for direct download as a pdf file.)