fai_ke53

这个函数读取各个比特的信息处理器和操作 系统，包括： *中央处理器的名字 *时钟速度 *处理器缓存的大小（二级） *号的物理处理器核心 *操作系统名称和版本 这是由程序/处理器（系统），sysctl（苹果）或命令行工具（窗口）。 需要在r2010a或以上。(This function reads various bits of information about the CPU and operating system, including: * CPU name * CPU clock speed * CPU Cache size (L2) * Number of physical CPU cores * Operating system name & version These are provided by /proc/cpu (Unix), sysctl (Mac) or WMIC (Windows). Requires MATLAB R2010a or above.)

模拟两个相干的的窄带信号。阵列的阵元数为10，快拍数为200，信号入射方向分别为20°，60°，阵元间距为入射信号波长的1／2，信噪比为20dB。分别用MUSIC算法和改进MUSIC算法进行仿真。仿真结果如下图所示(MUSIC algorithm is improved compared with the simulation of signal coherent MUSIC algorithm. Two coherent analog narrowband signal. Array element number of the array 10, the number of snapshots 200, a signal incident directions, respectively 20 °, 60 °, array element spacing is 1/2 of the wavelength of the incident signal, SNR is 20dB. Respectively MUSIC MUSIC algorithm and improved algorithm simulation.)

digital signal processing

利用常用的四阶龙格-库塔公式求初值再分别利用米尔恩公式和改进的亚当斯方法及常用的四阶龙格-库塔公式求解其余的数值解，并计算它们与精确解的误差(By use of Runge- Kutta formula and then find the initial value, respectively, and improved the formula by Milne Adams methods and commonly used Runge- Kutta formula to solve the rest of the numerical solution, and calculate their error with the exact solution)

克希霍夫偏移，有限差分偏移，频率—波数域偏移(Kirchhoff migration, finite difference migration, the frequency- wavenumber shift)

matlab中的彩色图转换成灰度图后的最新集中算法的运用的边缘检测(The color chart matlab edge detection)

Dynamic analysis of the doubly feed induction generator

说明：  SVM用于模式识别 整理别人的代码（原来的是英文）所得： kernel.m用于内积矩阵的计算 svcplot.m用于绘图 svm168.m是主程序 testlin.m是采用线形内积函数的支持向量机应用的 文件 testrbf.m是采用RBF内积函数的支持向量机应用 的 文件 每个文件中都有说明。 仿真平台matlab7.0, 仿真全部通过 将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matlab的file菜单中的set path中设置相应的路径）。 打开matlab，在命令窗口中输入 testlin或testrbf 即可查看结果。 (SVM pattern recognition for collating other people's code (the original is in English) from : kernel.m plot within the matrix for the calculation svcplot.m for graphics is the main svm168.m testlin.m procedure is used linear plot function within the SVM application documents testrbf.m RBF is using plot function within the SVM applications each file documents were described. Matlab7.0 simulation platform, all through the simulation of all the documents copied to the work directory (not directly to the attention of the upper folder directly copied to w contex directory, as if the operation, Matlab in the file menu on the set path corresponding set the path). Open Matlab, in the command window or imported testlin testrbf can see the results.)

现代信号谱分析 RELAX MATLAB 算法例程(spectral analysis of signals)

基于matlab的INS惯性导航的工具箱(INS inertial navigation based on the matlab toolbox)