proj_2

利用八组故障样本数据，根据样本的特征利用SOM网络进行故障诊断。(Using the eight groups of fault data samples, according to the characteristics of the sample using SOM network fault diagnosis.)

对信号进行Wigner-Ville分布分析的matlab函数(The matlab function of Wigner-Ville distribution analysis.)

一个DataMatrix，RS码的编码例子，用matlab写的，有助于理解里面的算法(A DataMatrix, RS code examples, written with MATLAB, helps to understand the inside algorithm)

利用matlab模拟光纤中的HE11模的模式分布图。(Using matlab to simulate the HE11 mode fiber mode distribution.)

实现窄带ULA DOA估计 包含music esprit算法及前向空间平滑和前后向空间平滑算法(It can realize the doa estimation of narrowband ULA ,including MUSIC ESPRIT and spatial smoothing methods)

基于MATLAB环境下的数字信号的调制（四种调制方式的具体实现方法）(Based on digital signal modulation MATLAB environment (the concrete realization of the four modulation method))

巴克码信号处理的计算机仿真巴克码信号处理的计算机仿真(Barker code signal processing computer simulation Barker code signal processing computer simulation)

说明：  这是一个matlab实现第归神经网络的例子, 实现的第归神经网络是 : Real Time Recurrent Learning(This is a Matlab achieve its neural network naturalization example, the realization of naturalization neural network is : Real Time Learning Recurrent)

Code to obtain the filtering function polynomials F(s), E(s) and P(s), and the constants eps and eps_r from transmission zeros, with Cameron s method.

说明：  一种快速有效、性能可靠的信号重构算法是压缩感知理论的核心部分，对于 这部分内容，许多卓有成效的研究工作正在陆续展开。从压缩感知理论提出至今， 已经出现了多种稀疏信号的重构算法。重构算法主要可以归结为三大类：贪婪算 法，凸松弛算法和组合算法。这里主要是SP算法(A fast and efficient, reliable signal reconstruction algorithm is the core of compressed sensing theory, for this part, much fruitful research work is carried out successively. From the compressed sensing theory so far, there have been many sparse signal reconstruction algorithm. Reconstruction algorithm can be summarized into three main categories: the greedy algorithm, convex relaxation algorithms and combinatorial algorithms. This algorithm is mainly SP)