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自编的奇异值分解消噪程序，在消噪的同时可实现对不同频率信号分量的分离。(Own the singular value decomposition de-noising procedure, de-noising can be achieved at the same time on different frequency signal component separation.)

第七章 GUIDE入门 7.1 概述 7.2 图形句柄入门 7.3 GUIDE工具入门 7.4 创建图形用户界面外观 7.5 图形用户界面编程 7.6 常用的图形界面函数 7.7 本章小结 (Chapter VII GUIDE overview 7.2 Introduction 7.1 Introduction 7.3 GUIDE handle graphics tools to create entry-7.4 Appearance 7.5 graphical user interface graphical user interface programming 7.6 graphical interface function commonly used in this chapter 7.7 Summary)

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

光伏电池模型，参考西南交大硕士研究生学位论文搭建(Photovoltaic cell model, the reference of Southwest Jiaotong University Graduate Thesis structures)

检验线性方程组是否可求，用换行法求解线性方程组(Inspection linear equations can be asked whether, with a line break method is used to solve the linear equations )

遗传算法求解旅行商问题：求解12个城市最短旅游路径(Genetic algorithm to solve traveling salesman problem：Solving 12 cities the shortest travel path )

DPSK系统的调制解调仿真，包括原理以及源代码和仿真结果，十分完整，包含了DPSK的相干解调，非相干解调，有自己的许多心得，希望对初学者有帮助(Modulation and demodulation of DPSK system simulation, including schematics and source code and simulation results, very complete, contains DPSK coherent demodulation, non-coherent demodulation many experiences, hope helpful for beginners)

高斯滤波程序，非常好用，在重力计算和频域内计算中都可以使用(THE GAUSSION FILTER PROGRAMS)

Convex Optimization(Log_Barrier_Gradient approach)

RADAR SAR IS RDA Project