Random-signal-analysis

有关Matlab MRF图像处理的一些代码，希望有用！(Matlab MRF image processing related to some code, hope useful!)

最小二乘支持向量机工具包，内嵌在Matlab环境中运行(LS—SVM tools )

四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写(Vector Machine SVM classification and regression algorithm toolbox four support. Written in MATLAB)

低通抽样定理程序有课程设计的有需求的自己(Low-pass sampling theorem of the curriculum design process there is a demand of their own)

MATLAB边缘检测程序，在用MATLAB进行图像处理时非常有用！(MATLAB edge detection procedure, image processing with MATLAB is useful!)

职能转换的纯文本唱名法记法矩阵或一个MIDI序列，代表的声音，或读取MIDI序列数据，并说明其转换为溶胶发符号。 图形用户界面是在一个唱名法编辑器的尝试，一个工作人员到唱名法的转换器。 而将工作职能溶胶fa2soundfcn文件夹在Matlabpath的。使用pathtool命令或设置路径...从文件菜单，并添加溶胶fa2soundfcn文件夹。 在M-代码计算从纯文本输入球场和持续时间，并生成用于扬声器作为信号 Ÿ Ÿ *罪=（2 * pi的*女*吨），0<吨<期限 或生成的MIDI数据序列做笔记 俯仰速度时间戳时间戳... 输出写入： *扬声器使用SOUNDSC * audioplayer对象使用AUDIOPLAYER *波形声音文件，并使用WAVWRITE * MIDI序列使用FWRITE 要生成唱名法记法，M码会从一个MIDI序列的说明使用从文件中读数据，将其转换唱名法符号和写入一个输出到一个文本文件（。txt）的使用FPRINTF 图形用户界面允许播放控制，文字编辑和独奏/静音选项。(The functions convert sol-fa notation in plain text to a matrix or to a MIDI sequence that represents the sound, or read the note data from a MIDI sequence and convert it to sol-fa notation. The GUI is an attempt at a sol-fa editor and a staff-to-sol-fa converter. Functions will work while the sol-fa2soundfcn folder is on the Matlabpath. Use the pathtool command or Set path... from the File menu, and add the sol-fa2soundfcn folder. The m-code calculates pitches and durations from the plain text input and generates a signal for the speakers as y = Y* sin(2* pi* f* t), 0 < t < duration or generates note data for a MIDI sequence as timestamp pitch velocity timestamp ... The output is written to: * speakers using SOUNDSC * audioplayer object using AUDIOPLAYER * WAVE Sound file using WAVWRITE * MIDI sequence using FWRITE To generate sol-fa notation, the m-code gets the note data from a MIDI sequence using FREAD, converts it to sol-fa symbol)

matlab蔡氏电路系统simulink仿真程序，只要只要改换参数即可(matlab code for chua sysytem,substitude different para can run)

detecting woods by images

经典的MUSIC算法，由特征值分解得到噪声子空间，再进行谱峰搜索(Classic MUSIC algorithm, the eigenvalue decomposition noise subspace, then the peak search)

非线性最小二乘优化问题以误差的平方和最小为准则来估计非线性静态模型参数的一种参数估计方法。设非线性系统的模型为y=f(x，θ)，常用于传感器参数设定。(64/5000 A parameter estimation method based on the minimum sum of squares of errors. Suppose that the model of the nonlinear system is y=f(x,), which is commonly used for sensor parameter setting.)