STKaMatlab

用最小方差无失真响应（MVDR）方法实现数字波束形成(using the mathod of MVDR to realize digital beamforming)

matlab求解非线性动力学和机械振动的书籍和例题，参考价值很大，很多问题都可以参考(matlab solving nonlinear dynamics and mechanical vibration of books and examples, reference of great value, many problems can be a reference)

本书介绍了非线性最优化问题的基本理论和算法，以及主要算法的matlab程序(This book describes the nonlinear optimization problem of the basic theory and algorithms, as well as the main algorithm matlab program)

利用三阶模拟BW LP滤波器和双线性变换法，设计数字高通滤波器的matlab代码与结果(Use of third-order analog BW LP filter and bilinear transformation method, the design of digital high-pass filter matlab code and results)

一个自己搭建的普通的pscad仿真模型，方便初学者了解pscad相关的原件(One he has built himself an ordinary pscad simulation model, easy for beginners to understand the relevant original pscad)

支持向量机说明,方便初学者学习的，英文的解释比较清楚(Support vector machine instructions, easy for beginners to learn English more clearly explained)

经典的Harris角点检测程序，用matlab编的，可以参考(classic Harris corner detection procedures, using Matlab series, we can make reference to)

针对二维矩形条带装箱问题提出了一种启发式布局算法，即底部左齐择优匹配算法（lowest—level left align bestfit，简称LLABF）．LLABF算法遵循最佳匹配优先原则，该原则综合考虑完全匹配优先、宽度匹配优先、高度匹配优先、组合宽度匹配优先及可装入优先等启发式规则．与BL（bottom-left），IBL（improved-bottom-left）与BLF（bottom—left-fill）等启发算法不同的是，LLABF能够在矩形装入过程中自动选择与可装区域匹配的下一个待装矩形．计算结果表明，LLABF结合遗传算法（genetie algorithm,简称GA）解决二维条带装箱问题更加有效．(A heuristic placement algorithm for two-dimensional rectangular strip packing problem is proposed, which is called bottom-level left align best fit algorithm (LLABF). Different from BL (bottom-left), IBL (improved-bottom-left) and BLF (bottom-left-fill) heuristic algorithms, LLABF can automatically select the next rectangle to be loaded that matches the mountable region during the rectangular loading process. Genetie algorithm (GA) is more effective to solve the two-dimensional strip packing problem.)

说明：  支持向量机的实验程序，对支持向量机进一步研究(SVM experimental procedures, further research on support vector machines)

Very nice and compact HP filter function for matlab.