bwt

matlab 7.0 书籍中的部分程序（Java部分等） 分别是：addslide；cdemo；getbox；getn；netsearch；javatest；whoami；(matlab 7.0 books in the part of the program (Java part, etc.) are: addslide cdemo getbox getn netsearch javatest whoami )

这是周建兴的《matlab从入门到精通》第6章的所有源代码，都可以运行的出来，和课本上的一样，(This is Zhoujian Xing' s " matlab from entry to the proficient," Chapter 6, all the source code, you can run out, and textbooks on the same)

一阶弹性波方程交错网格差分法(时间2阶空间4阶，带边界条件) 最基础的波长快照(Elastic wave equation of first order staggered-grid difference method (time 2-order space of order 4 with boundary conditions) the wavelength of the most basic snapshot)

Development of GUI for matlab

asmf-a trimmed median filter

matlab编写的熵权代码，很实用的东西(Entropy matlab code written, very practical things)

This is a code in matlab for face recognition using PCA

针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性(For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm)

This m-file implements a simple data acquisition gui with multiple channels and custom triggering It demonstrates how to: 1) Use nested functions to simplify data acquisition programs 2) Use a simple GUI (a couple of pushbuttons) to start and stop data acquisition. 3) Wait for an event/trigger (like a button press) and log pre-event or pre-trigger data from multiple synchronized channels. 4) Record pretrigger data based on custom criteria. In this m-file the triggering event is a button click. However, the event could be any custom criterion (e.g., the data amplitude is greater than a threshold *and* a toggle button is enabled). Requires: the Data Acquisition Toolbox (TM) and the Winsound adapter. It does not depend on any hardware-specific capabilities. (This m-file implements a simple data acquisition gui with multiple channels and custom triggering It demonstrates how to: 1) Use nested functions to simplify data acquisition programs 2) Use a simple GUI (a couple of pushbuttons) to start and stop data acquisition. 3) Wait for an event/trigger (like a button press) and log pre-event or pre-trigger data from multiple synchronized channels. 4) Record pretrigger data based on custom criteria. In this m-file the triggering event is a button click. However, the event could be any custom criterion (e.g., the data amplitude is greater than a threshold*and* a toggle button is enabled). Requires: the Data Acquisition Toolbox (TM) and the Winsound adapter. It does not depend on any hardware-specific capabilities. )

现代移动通信中的调制技术研究及Matlab实现(Modulation of modern mobile communication technology research and Matlab,)