scriptsLinearArraySimulation05Feb15

说明：  一组图象与视频处理C/C++代码,该软件包可用于Matlab。包括读取AVI和CIF/QCIF视频序列代码，Canny算子，Harris角点检测，全局阈值算法，动态阈值算法等等。(AP as a video processing with C/C code, the software can be used in Matlab. AVI including reading and CIF/QCIF video sequence code, Canny operator, Harris corner detection, and overall value threshold algorithm, dynamic threshold algorithm and so on.)

书籍：精通MATLAB－综合辅导与指南（附例程）,是一个还不错的介绍matlab的书籍(books : proficient in MATLAB-comprehensive counseling and guidance (routines), is a pretty good book on Matlab)

数值分析程序，《精通matlab最优化计算》，适合各专业最优化计算(Numerical analysis program, "proficient in matlab optimization calculations", suitable for all professional optimization calculation)

设有连续时间周期信号，它的周期为T，角频率，且满足狄里赫利条件，则该周期信号可以展开成傅里叶级数，即可表示为一系列不同频率的正弦或复指数信号之和。(With continuous time periodic signal, its period is T, the angular frequency, and to meet the Diliheli conditions, the periodic signal can be expanded into a Fourier series, can be expressed as a range of different frequencies of sinusoidal or complex exponential signal and.)

MATLAB FDATOOL的使用和具体的使用方法(MATLAB FDATOOl)

这是用matlab编写的有关动态规划算法中回溯的实现，是串匹配时用的(This is prepared using matlab on the dynamic programming algorithm realize the back is used when string matching)

MATLAB CODE HKK KLLKKNXJ JSKIU MXNLZXLJ JHKS. M,NJKHZN JKHNK. JLX,

Realization of Horn-Antenna for plotting radiation pattern in matlab using finite difference time domain method

地震信号处理，虚同相轴方法预测层间多次波，将数据分成上下两部分，利用相关和褶积的原理预测出层间多次波。预测信号和原始信号在相位和振幅上存在差异，用L1范数匹配法进行匹配，其中，提供了两种方法解病态方程，分别为高斯-赛德尔方法和正则化方法。(Seismic signal processing, predicte internal multiples by construct virtual events .The data is divided into two parts, using the principle of correlation and convolution to predicte multiples. There are differences between the prediction signal and the original signal on the phase and amplitude, so we use the L1 norm method to match the singal.We provide two methods for solving ill equation, respectively Gauss- Seidel method and regularization method.)

网上的Kalman滤波数据融合示例，此处的特点是添加了详细的注释，并且为了更容易理解和顾名思义，对部份变量和函数名作了修改，使得非常易懂。(An example of Kalman filtering data fusion on the Internet! Detailed annotations are added and some variables and function names are modified to make them easy to understand.)