mypca

说明：  澳大利亚国防大学的Geoff Mercer博士关于matlab求解微分方程的讲义。重点讲解了初始化、场分析和边界值问题。书中有一些实例，可以结合学习。(Australian National Defense Force Academy, Dr Geoff Mercer notes on matlab to solve differential equations. Highlighting initialization, field analysis and boundary value problems. Some examples of the book, you can combine learning.)

在假设负荷预测、风机和光伏未来出力已完全准确的情况下（允许弃风弃光），采用改进PSO算法对某含有风机、光伏、以及常规负荷的微电网未来24 小时的出力调控进行日前优化，以实现经济性最优(Under the assumption that the load forecasting, the wind turbine and the future power of the photovoltaic power are completely accurate (allowing for abandonment of the wind and light), the improved PSO algorithm is used to optimize the output of a microgrid containing the fan, photovoltaic, and conventional load for the next 24 hours in order to achieve the optimal economy.)

典型的信号以及matlab实现，适用于初学者，里面有正余弦信号等基本信号。(A typical realization of the signal and matlab for beginners, there are sine and cosine signals and other basic signal.)

errorbar errorbar errorbarerrorbar.m(errorbar errorbar )

Parameter+Estimation+and+Inverse+Problems 该书的配套光配内容(Parameter+ Estimation+ and+ Inverse+ Problems with the contents of the book' s supporting light)

数字水印的源码，很全。程序中用到的图也在里面。(Digital watermark source, it is full. Procedures which are used in Fig.)

仿真效率很高的，供做算法研究人员参考，一些自适应信号处理的算法，搭建OFDM通信系统的框架，研究生时的现代信号处理的作业，包括最小二乘法、SVM、神经网络、1_k近邻法。( High simulation efficiency, Algorithm for researchers to do reference, Some adaptive signal processing algorithms, Build a framework OFDM communication system, Modern signal processing jobs when the graduate, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.)

遗传算法，主要用于解决雷达成像中的insar干涉定标时的敏感度问题。(Genetic Algorithm, mainly used to solve the problem of the sensitivity of the radar imaging insar interferometric calibration time.)

Script for computing the SNR loss due to frequency offset in OFDM modulation

Robotics TOOLBOX The Toolbox provides many functions that are useful in robotics including such things as kinematics, dynamics, and trajectory generation. The Toolbox is useful for simulation as well as analyzing results from experiments with real robots. Have fun with the toolbox. It is self-explanatory and very (robotics) user friendly...see the robot.pdf