EPS_Toolkit_for_MATLAB

this is A MATLAB File for OFDM (DVB)

通过matlab仿真，做出单相变压器不同负载性质的相量图(Matlab simulation, to make a single-phase transformer phasor diagram of the different nature of the load)

Hill cipher encryption and decryption matlab code

two methods of calculating eucledian distance are shown in the m files

matlab 软件Allan 方差分析程序(A matlab program used for Allan covarice analysis)

Matlab编程学习课件,非常好的资料赶紧下载(Matlab programming learning courseware, very good information quickly download)

this is the function of the the differential of equation that program the modeling

基于MATLAB的EMD去噪算法，可用于线形，非线性一维信号，去噪效果良好。(EMD denoising algorithm based on MATLAB)

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.

仿照着《小波去噪中软硬阈值的一种改良折衷法》一文写的程序，对比了软、硬以及软硬阈值折衷法的信噪比及均方根误差。仿真出来之后，原信号的信噪比是负的，不知道为什么？均方根误差的值也比较大，不知何解？信噪比和均方根误差是参照《基于matlab的小波去噪仿真》：吴伟，《信息与电子工程》 一文写的(Modeled on the written procedures of the hard and soft threshold wavelet de-noising an improved compromise " , compared to the soft and hard compromise between the hard and soft threshold signal-to-noise ratio and root mean square error. Out of the simulation, the signal-to-noise ratio of the original signal is negative, do not know why? The value of the root mean square error is relatively large, do not know why? Signal-to-noise ratio and root mean square error with reference to the wavelet denoising matlab-based simulation: Wu Wei, " Information and Electronic Engineering" written)