Histogram

说明：  MATLAB的学习，以及仿真B超的field II 软件以及使用说明书(MATLAB )

wood_berry蒸馏塔的PID控制，使用matlab编程实现。(wood_berry distillation column PID control, the use of matlab programming.)

比较最佳平方逼近二次多项式，Chebyshev截断级数法以及插值余项极小法这三种函数逼近方法，并给出图形(Comparison of the best square quadratic polynomial approximation, Chebyshev truncated series method as well as more than a very small interpolation method of the three function approximation methods, and gives graphical)

说明：  turbo码系统的仿真，包括编码、交织、不同译码、穿孔等各个部分的程序。仿真结果在图中表现。译码算法为log-map。(turbo code system simulation, including encoding, interleaving, different decoder, such as perforation of part of the process. Simulation results are shown in Fig. Decoding algorithm for log-map.)

matlab code for fusing 2 images

Specific color setting for Pie3 MatLab function

半变异函数的应用拟合球状模型程序 在土壤重金属分析中的应用(The application of semivariogram spherical model fitting procedure in analysis of soil heavy metals)

Monte Carlo检验程序，用以检验生物与环境因子相关系数。在生态学上应用较广(Monte Carlo)

chapter2 基于遗传算法和非线性规划的函数寻优算法 《MATLAB智能算法30个案例分析》(史峰等)(30 case studies of MATLAB intelligent algorithm (Shi Feng et al.))

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