DQPSkMatlab

sparsify is a set of Matlab m-files implementing a range of different algorithms to calculate sparse signal approximations. Currently sparsify contains two main sets of algorithms, greedy methods (collected under the name of GreedLab) and hard thresholding algorithms (collected in HardLab). See ALGORITHMS below for a list of available algorithms.(sparsify is a set of Matlab m-files implementing a range of different algorithms to calculate sparse signal approximations. Currently sparsify contains two main sets of algorithms, greedy methods (collected under the name of GreedLab) and hard thresholding algorithms (collected in HardLab). See ALGORITHMS below for a list of available algorithms.)

MATLAB环境下的小波分析mallat经典算法(MATLAB environment, the classical algorithm of wavelet analysis mallat)

本程序可以实现利用神经网络算法对倒立摆的稳定控制(Stability control procedures can be achieved using neural network algorithm for inverted pendulum)

应用matlab程序，实现了对手写数字的识别，准确率非常高。(Matlab application procedures, to achieve the hand-written digit recognition, the accuracy rate is very high.)

matlab 2维牛顿法解方程组 计算方法(matlab 2-dimensional Newton' s method for solving equations calculated)

一个简单的四则运算计算器，它能实现两个数据的加减乘除运算，数据需手动输入。因为界面相对简单，方便初学者使用学习(A simple four-function calculator, it can achieve two data arithmetic operations, data to be entered manually. Because the interface is relatively simple and easy to learn for beginners)

详细介绍了MATLAB Simulink的系统仿真功能，并给出了大量的实例。(detail MATLAB Simulink and give various examples)

MATLAB具有强大的科学计算功能, 含有大量多目标优化分析函数。依据技术将函数在 环境下进行调用, 进行多目标优化集成系统开发, 实现数据的自动输入和输出功能, 编制了MATLAB与VB的数据接口代码, 提出程序设计时应注意的问题。(MATLAB has a strong scientific computing, contains a lot of multi-objective optimization function. According to the technology will function at Call environment, for the development of integrated system of multi objective optimization, realize automatic data input and output functions, the design of data interface code MATLAB and VB, should pay attention to the questions about programming.)

数学建模中有关搜索与优化的可能用到的一些例子(Search and optimization mathematical modeling may be used in some examples)

Neural network for regression issues