Image-processing

介绍了使用MATLAB实现对Kalman滤波的模拟，对Kalman滤波的学习和使用很有帮助。(Introduced the Kalman filter using MATLAB to realize the simulation, the learning and use of Kalman filtering helpful.)

Electromagnetic Simulation using the FDTD method章节后实例2-1 flux_density2_1用matlab重新编写(Electromagnetic Simulation using the FDTD method example 2-1 flux density ，rewriting in matlab)

用Matlab处理GPS导航卫星观测数据的程序，也就是O文件，Rinex 2.11版本，代码仅200多行，且包含大量注释，于2017.12.2日调试通过，可顺利读取体积达10M+的O文件，读取的数据准确无误。函数调用格式： [APXYZ DeltaHEN signal_type obsdata] = read_obs(‘krgg3340.17o’)(Using Matlab to process GPS navigation satellite observation data program, that is, O file, Rinex 2.11 version, the code is only more than 200 rows, and contains a lot of annotations. It debugged on 2017.12.2 day. It can smoothly read the O file with volume up to 10M+, and the data read is accurate.)

说明：  多工序多设备的生产车间调度问题，采用的是精英保留策略的遗传算法(A genetic algorithm based on elite reservation strategy is adopted for multi-process and multi-equipment job shop scheduling problem.)

PCA的原代码，绝对好使，大家用了就知道~~~希望对大家有帮助(the original code, absolutely so, we have spent know ~ ~ ~ hope to be helpful)

提供了外文文献具体解释了HHT得缺陷之一，模态混叠现象。 通过matlab的仿真具体解释了HHT用于信号分析时出现模态混叠的临界点。(english papers to explain one of the limitations of HHT-MODE MIXING simulation base on MATLAB provide graph to improve that limitation)

说明：  MATLAB中simulink对跳频抗干扰的分析(Analysis in MATLAB simulink hopping interference)

拉丁超立方采样包括还有约束和没有约束的两种。(Latin hypercube sampling includes both constrained and unconstrained sampling.)

数字通信原理—基于Matlab仿真计算 里面包含很多实际例子的仿真程序(Digital communication theory- based on Matlab simulation which contains many practical examples of the simulation program )

ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier