DIP

The queueing example which is simplest for mathematical analysis is the M/M/1 queue. Here is the tcl script for it.

用鼠标画任意点,最终想用MatLab GUI开发画电机绕线图(Draw points with mouse)

大量实验表明,提出的方法对同种传感器或者不同传感器图像之间的配准都是有效的。 提出了一种新的基于角点检测的图像配准方法,其核心思想是采用一种快速的 基于图像灰度的角点检测新算法,通过沿圆弧曲线扫描获取角点信息,然后根据这些 角点信息建立图像间角点的对应关系,并由此得到初配准参数,最后通过迭代过程以 提高配准的精度. 理论分析和实验结果表明,该算法对图像间的旋转角度没有限制, 配准精度高而且计算量较小. (Experiments show that the proposed method on the same kind of sensor or between the different sensor image registration is valid. A new corner detection based image registration method, the core idea is to use a fast gray-based new algorithm for corner detection, scanning through the curve along the arc for corner information, and then based on these corner information to establish image correspondence between the corners, and thus be the beginning of registration parameters, and finally through the iterative process to improve the accuracy of registration. Theoretical analysis and experimental results show that the algorithm is rotation between the image does not limit , registration accuracy and less computation.)

matlab环境下的数字图像处理代码:遥感影像的多种融合方法比较( the comparison of fusion methods in remote sensing image processing based in matlab enviroment)

matlab实现kalman滤波，并标注(kalman filter)

实现大点数的IFFT变换，先进行小点数IFFT变化，然后再进行过采样滤波，有频谱图及例子(Achieve great points IFFT transform, first have a small point IFFT change, and then over-sampling filter, a spectrum and examples)

说明：  MATLAB实现的NARX模型辨识程序，适用于初学模型辨识的学者理解NARX模型辨识方法(The NARX model identification program implemented by MATLAB is suitable for the scholars who are learning model identification to understand the NARX model identification method.)

稳健自适应的波束形成算法，最基本的MVDR算法(Robust adaptive beamforming algorithm, the basic MVDR algorithm)

一，二，三次拟合，并得到R方的检验。输入任何矩阵，得出险要的值。(One, two, three fitting and get R-square test. Enter any matrix derived advantageous values.)

MATLAB编写的SAR成像程序，数据采用的是仿真数据(matlab prepared SAR imaging program, using the simulation data.)