MATLABABCv2

............... sliding mode observer..................................................................................................................

GWO算法模拟了灰狼在自然界中的领导层次和狩猎机制。四种类型的灰狼，如alpha，beta，delta和omega，用于模拟领导层次结构。此外，实施狩猎，搜寻猎物，环绕猎物和攻击猎物的三个主要步骤以执行优化。 压缩包包括：发表的论文、优化算法代码、优化工具箱。(The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, three main steps of hunting, searching for prey, encircling prey, and attacking prey, are implemented to perform optimization. Compression packages include: published papers, optimization algorithm code, optimization toolbox.)

说明：  模拟光的折射，通过经典光学拟合光路的传输(Simulation of light refraction, through fitting the classical optical transmission of optical)

在满足特定指派要求条件下，使指派方案总体效果最佳。如：有若干项工作需要分配给若干人（或部门）来完成；有若干项合同需要选择若干个投标者来承包：有若干班级需要安排在若干教室里上课等(To meet the specific assignment requirements, so that the overall effect of the assigned program. Such as: certain work to be assigned to certain people (or departments) certain contracts need to select the number of bidders to contracting: a number of classes need to arrange classes in certain classroom)

在MATLAB中画多条不同颜色曲线的脚本程序，非常方便(Videos multiple different color curve scripts in MATLAB, very convenient)

两个模拟信号的分离与模拟，并通过图例说明问题(two signal to seperat)

通过改变想要处理的帧，和预测器阶数，对原始语音帧和预测语音帧作一个比较，并作出短时谱和lpc谱，最后作倒谱比较。(By changing the processing of the desired frame, and the predictor order, the original speech frame and the predicted speech frame to make a comparison and to make short-term spectrum and the lpc spectrum, cepstrum last for comparison.)

说明：  软硬阈值的语音增强处理，可直接运行出结果，可做语音增强算法参考(Hard and soft threshold speech enhancement processing, can be run directly the results, can be reference for speech enhancement algorithm )

说明：  计算布拉格光纤光栅和长周期光纤光栅的反射谱或传输谱(The reflected spetrum of FBG and the transmission spectrum of LPFG)

Chapter 4. Interpolation and Polynomial Approximation Algorithm 4.1 Evaluation of a Taylor Series Algorithm 4.2 Polynomial Calculus Algorithm 4.3 Lagrange Approximation Algorithm 4.4 Nested Multiplication with Multiple Centers Algorithm 4.5 Newton Interpolation Polynomial Algorithm 4.6 Chebyshev Approximation