LMS

Hi This mfile is source code for image segementation using active contour models [Snake]. It found the objects in imaages.

说明：  载波侦听多路访问。采用分布式控制方法，附接总线的各个结点通过竞争的方式，获得总线的使用权。只有获得使用权的结点才可以向总线发送信息帧，该信息帧将被附接总线的所有结点感知(Carrier Sense Multiple Access. A distributed control method, each attached to the bus node on a competitive basis, to obtain the right to use the bus. Only with the right to use the node can send messages to the bus frame, the message frame will be attached to all nodes sense the bus)

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)

这个程序是3机9节点潮流计算的程序，是电力系统编程的入门程序(power flow machine 3)

计算IEEE-6节点系统牛顿拉夫逊潮流计算，通用的算法。非常实用(chaoliu jisuan IEEEE-6)

this projeh simulates OFDMreceiver in matlab

对原有数据进行排列，找到它所在位置，求出符合要求的最小值(The original data are arranged in a position to find it, find the minimum to meet the requirements)

matlab_gui的学习实用，简单的教学资料。(a simple teaching documentation for matlab_gui.)

it is very important homework to solve the pipe reactor with the cooling system(it is very important homework to solve the pipe reactor with the cooling system I hope you will like it)

image fusio techniques.