MATLAB

信息光学课程：用MATLAB模拟光栅的弗朗禾费衍射图样(MATLAB simulation of grating diffraction pattern Francis Wo fees)

角度和时延联合估计（JADE）算法MATLAB程序(Joint angle and delay estimation (JADE) algorithm MATLAB program)

串级控制系统simulink仿真,对于新手来说很容易理解(Cascade control system simulink simulation, it is easy to understand for the novice)

说明：  光伏并网系统反孤岛控制策略仿真分析,一个比较好的参考资料。(Photovoltaic grid system anti- island control strategy simulation analysis, a better reference material. )

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

normalizing the sign in matlab

coding for multi tone complex sinusoidal

这个程序用来模拟windows计算器,为薜定宇老师<<科学运算语言MATLAB5.3程序设计与应用>>的习题而做(It is suitable for beginners to master matlab deep into the second developed a good teaching examples of great reference value)

The function computes the basic harmonic of the signal, in the form: x(t) = amp*cos(w*t - ph) + (higher Harmonics) These values are typically useful in power systems, audio signal processing, and other related fields.(The function computes the basic harmonic of the signal, in the form: x(t) = amp*cos(w*t - ph) + (higher Harmonics) )

利用交叉率和变异率自适应的遗传算法来优化BP算法的初始权重，已到达快速收敛的目的(Improved GA optimized BP network algorithm)