xianxlvbo

结构分析的有限元法与MATLAB程序设计配套(Structural analysis of the finite element method and MATLAB programming package)

用过matlab的人都知道，其中的命令很多很难记，这下可以为大家解决后顾之忧(used Matlab people know that many of the orders is difficult to remember, Great thought we resolved to worry about!)

最小生成树算法的matlab实现，自己写的(good for learning)

说明：  关于MATLAB应用于调制解调器的设计。其中有详细的关于信号的调制与解调的MATLAB的程序(MATLAB used on modem design. Including detailed information about the signal modulation and demodulation of the MATLAB program)

一个广义预测控制GPC的例子，matlab源程序(Example of a generalized predictive control (GPC), matlab source)

抽取法产生m序列优选对，并产生与之对应的所有Gold序列；做出了Gold码的自相关与互相关函数；验证了Gold码的个数(Extraction method m sequence pairs, and generate the corresponding Gold sequence to make a Gold code autocorrelation and cross correlation function to verify the number of Gold codes)

This model demonstrates a DC-AC converter. 3 leg Mosfet operated inverter is constructed . Can be used to demonstrate the relationship of input DC, output voltage, modulation index , filter selection and switching frequency. 3rd harmonic injection features

这个程序是基于MATLAB实现的偏最小二乘算法(MATLAB implementation is based on partial least squares algorithm)

经典的香农采样定理认为,为了不失真地恢复模拟信号,采样频率应该不小于奈奎斯特频率(即模拟信号 频谱中的最高频率)的两倍.但是其中除了利用到信号是有限带宽的假设外,没利用任何的其它先验信息.采集到 的数据存在很大程度的冗余.Donoho等人提出的压缩感知方法(Compressed Sensing或Compressive Sampling, CS)充分运用了大部分信号在预知的一组基上可以稀疏表示这一先验信息,利用随机投影实现了在远低于奈奎斯 特频率的采样频率下对压缩数据的直接采集.该方法不仅为降低采样频率提供了一种新思路,也为其它科学领域 的研究提供了新的契机.该文综述性地阐述了压缩感知方法的基本原理,给出了其中的一些约束问题和估计方法, 并介绍压缩感知理论的相关问题———矩阵填充,最后讨论了其未来可能的应用前景. (According to the conventional Shannon s sampling theorem,in order to represent the analog signal,the sampling rate should not be less than twice the Nyquist sampling rate.Howev- er,this theorem only makes use of the bandwidth information.As a result,the collected data contain many redundant information.The recently proposed sampling method,compressed sens- ing or compressive sampling(CS),can collect compressed data at the sampling rate much lower than that needed in Shannon s sampling theorem by exploring the compressibility of the signal. This paper presents a review on the basic theory of CS.Some of the restrictions and recovery methods in CS are also discussed.Finally,some potential applications based on CS are presented. )

DC-Motor Simulation and System Identification