Weather-Forecast---MATLAB_Code

说明：  数据挖掘算法，fuzzy-K-means聚类算法源代码，用于模糊聚类分析(data mining algorithms, fuzzy-K-means clustering algorithm source code for Fuzzy Cluster Analysis)

这个m-文件允许你导出所有在命令窗口中的文本到字符串单元阵列，每个条目是一个从窗口文本行。未分析的原始字符串也可以，如果需要的话。 操作非常简单 -使用findjobj功能（操作要求），此文件查找在根窗口，并得到适当的对象从文本。 我一直在寻找一种方式做，特别是一些软件中的错误我始终跟踪这，似乎已经没有人写了这种方法，所以我现在在这里供您使用。 这是一个有点慢，有可能是一个特定类寻找更快的方法- 如果这样，让我知道！(This m-file allows you to export all text in the Command Window to a cell array of strings, each entry being a line of text from the window. The unparsed raw string is also available, if desired. Operation is very simple- using the findjobj function (required for operation), this file looks for the appropriate object in the root window and gets text from it. I was looking for a way to do this, particularly for error tracking in some software I maintain, and nobody seemed to have written up this method, so I present it here for you to use. It s a bit slow, there is probably a quicker way of looking for a specific class- if so, let me know!)

这个是多相滤波的MATLAB程序，做接收机的同学可以参考的(this is a polyphase programme)

一维连续功率谱分析 一维序列x(n)的连续功率谱分析，ol(0:m)频率，tl(0:m)周期，sl(0:m)连续功率谱，st95(0:m)红噪音或白噪音谱的95 置信上限，strw(0:m) 红噪音或白噪音的谱密度，其中m=[n/2.]。 (Continuous power spectral analysis of one-dimensional one-dimensional sequence x (n) of continuous power spectrum analysis, ol (0: m) frequency, tl (0: m) cycle, sl (0: m) continuous power spectrum, st95 (0: m ) red noise or white noise spectrum of the 95 confidence limit, strw (0: m) of red noise or white noise spectral density, where m = [n/2.].)

iis is a code for sinosoidal pulsewidth modulation

音乐合成 内容：1) 自己朗诵一段文字，并录制成.wav 文件； 2) 利用 matlab，给这段录音添加背景音乐； 代码都嫁了注释(use matlab, add background music to the recording which you read a text )

线性分组码的简单实现, 包括生成矩阵,最小码字,二-十进制转换等功能(Simple linear block code to achieve, including the generator matrix, the smallest code word, two- decimal conversion function)

machine learning algorithm

It is a matlab program to implement mimo for a single modulation tech and used to detrmine BER

简单来说，卡尔曼滤波器是一个"optimal recursive data processing algorithm（最优化自回归数据处理算法）"。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。(In short, the Kalman filter is an " optimal recursive data processing algorithm (optimal autoregressive data processing algorithm)." For most of the problems to solve it, he is the best, most efficient or even useful.)