TSS

NumericalMethods in Engineering withMATLAB® is a text for engineering students and a reference for practicing engineers, especially those who wish to explore the power and efficiency of MATLAB. The choice of numerical methods was based on their relevance to engineering problems. Every method is discussed thoroughly and illustrated with problems involving both hand computation and programming. MATLAB M-files accompany each method and are available on the book web site. This code is made simple and easy to understand by avoiding complex book-keeping schemes, while maintaining the essential features of the method. MATLAB, was chosen as the example language because of its ubiquitous use in engineering studies and practice. Moreover, it is widely available to students on school networks and through inexpensive educational versions.MATLAB a popular tool for teaching scientific computation.

matlab的petri网工具包，可以在matlab7.0上运行(the petri net matlab toolkit, you can run matlab7.0)

analysis numeric, polinom 4 deg

MATLAB的全部实例，如何运用Matlab以及Matlab的基础的语法，单词(All instances of MATLAB, how to use Matlab and the Matlab-based grammar, word)

用于激发极化法的数据处理，希望对各位有用(For the induced polarization method of data processing, you want to be useful)

实现图像的拼接与融合，使用SIFT方法，拼接效果较好，例程为两个图片的拼接，实际可实现多个图片拼接(image mosaic)

Adding Noise and the Restoring

关联规则Apriori算法MATLAB实现(Apriori association rule algorithm based on MATLAB realization)

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)

说明：  用matlab实现了FM调制解调过程，能很好地用图形来显示调制解调过程。(Achieved using matlab FM modulation and demodulation process, can well use the graphics to display modem process.)