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说明：  提取图像的GLCM矩阵，并计算出Haralick建议的14个特征值(Extract images GLCM matrix, and calculate the 14 Haralick features of the proposed values)

用MATLAB程序打开数字地震数据记录SAC格式。(using Matlab, it can open the data of seismic wave.)

针对传统α － β 滤波算法不够有效跟踪机动目标的问题， 详细分析了其内在原因， 提出一种改进的α － β 滤波算法。该算法不需要假定目标的机动模型， 而是将目标的机动加速度作为滤波状态直接估计出来， 将估计加速度作为输入控制量引入到传统α － β 滤波器的状态估计方程中进行机动目标的跟踪。然后将它与传统α － β 滤波算法进行比较， 证明了新的算法不仅具有传统算法计算量小的优点， 而且还可以对机动目标进行实时跟踪。仿真结果表明， 新算法在综合性能上明显优于传统算法。(In view of the problem that the traditional alpha beta filtering algorithm is not effective in tracking the maneuvering target, the internal reason is analyzed in detail, and an improved alpha beta filtering algorithm is proposed. In this algorithm, the maneuvering model of the target is not assumed, but the maneuvering acceleration of the target is estimated directly as the filter state, and the estimated acceleration is introduced into the state estimation equation of the traditional alpha beta filter to track the maneuvering target in the state estimation equation of the traditional alpha beta filter. Then compared with the traditional alpha beta filtering algorithm, it is proved that the new algorithm not only has the advantages of small computation in the traditional algorithm, but also can track the maneuvering target in real time. The simulation results show that the new algorithm is superior to the traditional algorithm in terms of comprehensive performance.)

normalized threshold vs the probability of false alarm in radar system.

A Matlab code for finding the shortest path in a graph using reinforcement learning. A sample of input file format is included.

基于Backstepping的船舶航行自适应鲁棒非线性控制器设计(Design of Backsteping based adaptive robust nonlinear controller of ship course.)

Sina Farsiu 关于超分辨率复原方面的开源软件，MDSP_MATLAB7(Open source software of of Sina Farsiu Superresolution, MDSP_MATLAB7)

一段图像处理matlab代码，对于图像处理很有用哦。。。。。(A matlab image processing code, for image processing is very useful oh.....)

说明：  非常全面的灵敏度分析讲解以及灵敏度检验案例(Very comprehensive explanation of sensitivity analysis and sensitivity test cases)

前基于图像块稀疏表示的超分辨率重构算法对所有图像块都用同一字典表示，不能反映不同类型图 像块问的筹别．针对这一缺点，本文提出基于图像块分类稀疏表示的方法．该方法先利用图像局部特征将图像块分为 平滑、边缘和不规则结构三种类型，其中边缘块细分为多个方向．然后利用稀疏表示方法对边缘和不规则结构块分别 训练各自对应的低分辨率和-岛分辨率字典．重构时对平滑块利用简单双三次插值方法，边缘和不规则结构块由其对应 的高、低分辨率字典通过正交匹配追踪箅法重构．实验结果表明，与单字典稀疏表示算法相比，本文算法对图像边缘部 分重构质量明显改善，同时醇构速度品著提高． (Image Super-Resolution AlgorithmsB ased onS parse Representation of Classified ImageP atches )