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说明：  利用Matlab编写程序实现以下功能：以多项式形式输入系统前向通路传递函数和反馈回路传递函数，计算系统开环增益，判定型别，根据控制系统劳斯稳定判据原理，列出得到的任意阶次系统的劳斯表，判定闭环系统稳定性，若不稳定给出具有正实部极点的数目。 （1）根据用户输入的稳定度a，计算稳定的开环增益K的范围； （2）确定系统的最大稳定度a,计算相应的开环增益K的值。 (The use of Matlab programming to achieve the following functions: polynomial in the form of input system transfer function to the path and feedback loop transfer function, system open-loop gain calculation to determine type, according to Routh stability criterion control system theory, has been listed in the system of arbitrary order Routh table to determine the stability of the closed-loop system, if the stability of a positive real part gives the number of poles. (1) According to the stability of the user to enter a, calculation of the stability of the open-loop gain of the scope of K (2) to determine the most stable system a, the calculation of the open-loop gain of the corresponding K value.)

完整的在LTE标准下MIMO+OFDM仿真程序 (LTE system simulation about MIMO+OFDM)

APMTMLHDGV01Ver2001_Tools_Software_general_05011YXC.rar华为手机刷机平台(Tools Software general )

本程序可进行植被物候研究，用于提取植被返青期、枯黄期及生长季长度等物候参数。(This procedure can be carried out vegetation phenology studies, used to extract reviving vegetation, yellow and growing season length of phenological parameters.)

这是matlab用户手册，对于初学者很有益，里面涉及到各个方面，很有价值的参考资料。(This is a matlab user manual, very useful for beginners, which relate to various aspects valuable reference.)

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)

用matlab开发语言实现的遗传算法例程，实现tsp问题的解答(Using matlab programming language implementation of genetic algorithm routines, implementation tsp questions)

曼彻斯特编码的simulink实现，在matlab仿真环境下可运行。(Simulink realization of the Manchester-encoded, can be run under the Matlab simulation environment.)

ieee most standard and mostly prefered professionals computer science and information tech. trascation paper for project or seminar

PROGRAM FOR LOAD FLOW ANALYSIS BASED ON NEWTON RAPHSON METHOD IN POLAR FORM FOR 14 BUS SYSTEM IN MATLAB