btrwrthlowpass

模拟车载移动信道产生的瑞利衰落，默认为6径衰落，移动速度可以设定，车载移动信道的仿真常用模型 (Simulate vehicle movement generated by Rayleigh fading channel, the default is 6-path fading, mobile speed can be set, in-car mobile channel simulation model used)

主成分分析法，对基于TE模型的故障诊断与检测有一定得意义！(PCA procedure)

matlab mimo mcmilan

用matlab实现调制，注释详细，BPSK(The modulation with matlab, detailed notes, BPSK)

二维布朗运动的仿真，观察其分布特点，看某点做布朗运动后的运动点的分布（空间是矩形）(brown sim)

说明：  主成分分析很重要的例子，特别适合于中等研究人员(The example of the main content is fit for middle study student )

视觉图像处理研究者必看的有用代码。包括图像预处理，特征提取，算法实现，特征整合等等代码。(Visual image processing researchers must-see useful code. Including image preprocessing, feature extraction, algorithm, feature integration, etc. code.)

进行可靠度分析有效方法 画出数据概率分别vu 如 (for reliable method N = FREQDM(Y) bins the elements of Y into 10 equally spaced containers and returns the frequency of each container. If Y is a matrix, FREQDM works down the columns. N = FREQDM(Y,M), where M is a scalar, uses M bins. )

　传统的信号理论，是建立在Fourier分析基础上的，而Fourier变换作为一种全局性的变化，其有一定的局限性。在实际应用中人们开始对Fourier变换进行各种改进，小波分析由此产生了。小波分析是一种新兴的数学分支，它是泛函数、Fourier分析、调和分析、数值分析的最完美的结晶；在应用领域，特别是在信号处理、图像处理、语音处理以及众多非线性科学领域，它被认为是继Fourier分析之后的又一有效的时频分析方法。 小波变换与Fourier变换相比，是一个时间和频域的局域变换因而能有效地从信号中提取信息，通过伸缩和平移等运算功能对函数或信号进行多尺度细化分析（Multiscale Analysis），解决了Fourier变换不能解决的许多困难问题。(The traditional signal theory, is based on Fourier analysis based on Fourier transform, and as a kind of global change, it has some limitations. In the actual application of Fourier transform people began to various improved, wavelet analysis produced. Wavelet analysis is a new branch of mathematics, it is functional, Fourier analysis, harmonic analysis, numerical analysis of the crystallization of the most perfect In the fields of application, especially in signal processing, image processing, audio processing as well as many nonlinear scientific fields, it is considered to be the Fourier analysis after another effective time-frequency analysis method. Wavelet transformation and Fourier transform, compared is a time and frequency domain and the local transform can effectively extract information from signal, through the telescopic peace shift etc operation function of the function ? )

Random Sample Consensus & matching two image