multi-relay-cooperative-communication

文章“要素分析的贝叶斯混合变分推断方法”的matlab程序(Matlab program of The article Variational Infence for Bayesian mixture lof factor analysers )

上传的matlab程序代码是一个水表字符识别代码，采用BP神经网络识别。(Upload matlab code is a meter character identification code, using BP neural network.)

It is a matlab sourcecodes for the calculation of refrective index of AlGaAs alloy. I think it is useful for the guys who need the accurate value of the refrective index. It can be expanded to the other semiconductor alloy if you have the related parameters.

MATLAB 7.0编程基础基础源程序 相当好(based programming source very good foundation)

使用PAST算法进行子空间分析，MUSIC算法进行频率估计，实现了对信号的频率跟踪(Using the PAST subspace analysis algorithm, MUSIC frequency estimation algorithm to achieve the signal frequency tracking)

函数查找最小边的权重匹配给出的M×N的边缘 使用匈牙利算法权重矩阵的权重 A function for finding a minimum edge weight matching given a MxN Edge weight matrix WEIGHTS using the Hungarian Algorithm. ( A function for finding a minimum edge weight matching given a MxN Edge weight matrix WEIGHTS using the Hungarian Algorithm. )

完整的C与matlab混合编程的例子，包含很多实例，还有讲解用的ppt，对于想要了解c与matlab混合编程的人很有帮助。(Complete mixed C and matlab programming examples, including many examples, as well as on the use of ppt, to want to know c and mixed programming matlab people very helpful.)

segmentation tools for segmention lazy snaping

说明：  极坐标牛拉法和PQ分解法计算IEEE14节点(Calculation of IEEE14 nodes by polar coordinate niula method and PQ decomposition method)

正交匹配追踪(OMP)在稀疏分解与压缩感知重构，稀疏分解先于压缩感知提出，信号稀疏表示的目的就是在给定的超完备字典中用尽可能少的原子来表示信号，可以获得信号更为简洁的表示方式，从而使我们更容易地获取信号中所蕴含的信息，更方便进一步对信号进行加工处理，如压缩、编码等。(Orthogonal Matching Pursuit (OMP) is used in sparse decomposition and compressive sensing reconstruction. Sparse decomposition is proposed prior to compressed sensing. The purpose of signal sparse representation is to represent the signal with as few atoms as possible in a given overcomplete dictionary. The more concise representation of the signal allows us to more easily obtain the information contained in the signal, making it easier to further process the signal, such as compression and coding.)