multiuser

说明：  在Matlab里可以方便计算一个序列频谱等特征的程序(in Matlab can easily calculate a spectral characteristics of the process)

LMI2 For control systems

matlab 的s函数模板，用s函数是，在这个基础上修改后就可以用了！！(matlab s-function template, use the s function is, on this basis can be modified after it! !)

地球物理勘探中重力资料解释的主要目的是由地表观测值推断地下可能存在的密度分布。众所周知,任何一组重力数据都可能由无数个密度分布所引起。即使假设了重力异常是由具有均匀密度差的单一地质体产生的,也得不出唯一的解(Gravity geophysical exploration data interpretation main purpose is inferred from surface observations may exist underground density distribution. Is known, any set of data may be provided by gravity density caused numerous. Even assuming that the gravity anomaly is determined by having a uniform density difference arising from a single geological body, they have no unique solution)

Gauss Seidel method for load flow studies

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula )

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. )

图像中值滤波，用matlab实现了3×3邻域中值滤波，以及实现5×5十字形中值滤波。(Image filtering, using matlab to achieve the 33 neighborhood median filtering domain, and the realization of the value of 55 cross filtering.)

模拟信号dsb和ssb调制基于simulink的仿真(Dsb and ssb analog signal modulation simulink simulation-based)

无刷直流电机控制系统的研究印度的老外编的(studiedof the Brushless dc motor control system )