stdpf

基于MATLAB的近邻法剪辑算法的实验，源代码，及数据分析(Based on the MATLAB nearest-neighbor method clip algorithm experiment, the source code, and data analysis )

一段空间梁的Matlab源文件程序，仅供参考学习(A space beam of the Matlab source file procedures, only reference learning)

DC motor is a device that converts electrical energy into mechanical energy. DC motor structure consists of two main parts: a permanent magnet and a coil. There is also a brush which is connected to an external electric power to the coils of the motor. When coil is powered on, there is a magnetic field around the coil.

matlab numerical analysis

unified power flow controller

说明：  高等光学仿真-光波导、激光书中的部分程序代码(Higher optical simulation- optical waveguide laser book code)

this is matlab program for study(this is matlab program)

matlab 常用算法程序，例如插值，矩阵特征值计算，函数逼近等常用算法。(matlab algorithm used procedures, such as interpolation, eigenvalue computation, function approximation and other common algorithms.)

WIRESLESS SENSOR NETWORKS ALGORTHIM3

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. )