LMSE

自编的图片旋转的函数，不是matlab原有的函数，而是根据原理自己写的(self picture rotation function, Matlab is not the original function, but on the basis of principles to write)

说明：  现代通信系统(MATLAB版)(第二版)代码(Modern communication systems (MATLAB version) (Second Edition) code)

This example shows how to generate C code for a MATLAB Kalman filter function, Kalman , which estimates the position of a moving object based on past noisy measurements. It also shows how to generate a MEX function for this MATLAB code to increase the execution speed of the algorithm in MATLAB.

Power system stabilizers (PSS) are now routinely used in the industry to damp out power system oscillations. In this paper, real-coded genetic algorithm (RCGA) optimization technique is applied to design robust power system stabilizer for both singlemachine infinite-bus (SMIB) and multi-machine power system. The design problem of the proposed controller is formulated as an optimization problem and RCGA is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor speed of the generator is involved stability performance of the system is improved. The non-linear simulation results are presented under wide range of operating conditions disturbances at different locations as well as for various fault clearing sequences to show the effectiveness and robustness of the proposed controller and their ability to provide efficient damping of low frequency oscillations.

说明：  适用于任意混沌系统的李雅普诺夫指数计算方法，值得借鉴(The calculation method of Lyapunov exponent applicable to any chaotic system is worth learning)

Calculator is a matlab gui that performs basic operations

Smartcard CCID specification

说明：  是ofdm关于matlab仿真方面的文章，里面写的特别的好，已经运行处结果。对仿真很有帮助(Ofdm matlab simulation area is on the article, written by particularly good which has been running at the results. Useful for simulation)

Large Area DEM Generation Using Airborne LiDAR Data and Quality Control

能对压缩感知中的稀疏度未知的信号精确的重建，重建误差小，经本人调试，完全正确(Capable of compressed sensing signals unknown sparsity accurate reconstruction, reconstruction error is small, after I debug, completely correct)