SAR-chengxiang

蒙特卡洛算法的仿真源代码 介绍了蒙特卡洛仿真的基本思想 并附带了一些具体例子(monteCarlo resources code in the matlab )

毫米波图像存在分辨率低的缺点，该程序在WRLA算法的基础上，进一步采用投影算法，能有效改善毫米波图像的分辨率(Images acquired from Passive Millimeter-Wave (PMMW) radiometer have poor resolution due to limited aperture dimension. Therefore, Super-Resolution Algorithm (SRA) is a key component for PMMW imager. SRA realizes spectrum extrapolation, however, spectrum in-band is deteriorated too. Wiener-Richardson-Lucy Algorithm (WRLA) recovers spectrum in-band by Wiener filter, and extrapolates spectrum out-of-band by Richardson-Lucy Algorithm (RLA). WRLA can avoid spectrum deterioration in passband, but its ability for spectrum extrapolation is limited also. We propose an improved algorithm to solve this problem. This algorithm, which has built constraints according to characteristics of PMMW imaging, uses Projection-Onto-Convex-Sets (POCS) technique to enhance the WRLA s performance, so it is termed as POCS-WRLA.)

说明：  把信号用数字或符号表示成序列，通过计算机或通用（专用）信号处理设备，用数值计算方法进行各种处理，达到提取有用信息的目的。(The signal using numbers or symbols into a sequence that, through the computer or general-purpose (dedicated) signal processing equipment, numerical calculation using a variety of treatment methods to achieve the purpose of extracting useful information.)

这是一个矢量控制成功mdl模型，可改编为任何电机（永磁同步电机 异步电机等），低版本matlab上编写，大家均可成功运行 (Vector Control；PMSM Induction motor；mdl)

主动表观模型matlab程序,人脸几何特征标定(Active apperance model Matlab programming)

Plot image histogram with Mathematic Algorithm in matlab

编写一通用的预测法分析程序，要求有一定的错误处理能力，出错后能够使程序继续运行下去，直到分析过程结束。可通过不同的文法（通过数据表现）进行测试。(Write a generic prediction analysis procedure that requires a certain degree of error-handling capabilities, enabling the program to continue after an error to run it until the end of the analysis process. Can be tested by different grammar (by performance data).)

采用贝叶斯正则化算法提高 BP 网络的推广能力。 在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。(Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, namely LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to train BP network so that it can fit a sine additional white noise sample data.)

MATLAB入门到精通第十二章的实例MATLAB的程序代码(MATLAB Introduction to the master instance of Chapter XII of the program code MATLAB)

subtightplot is a merger of Pekka Kumpulainen s tight_subplot and Nikolay S. s subplot_tight. It extends the former, which supports asymmetric subplots, to allow for variable margins in addition to gaps, as in the latter.