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采用KSVD算法通过训练的方法来构造稀疏过完备字典，在使用时一定要确保已装有ompbox9。可用于语音，图像信号处理等的稀疏字典构造(KSVD algorithm using the method of training to construct the sparse over-complete dictionary, in use, make sure have been installed ompbox9. Can be used for the sparse dictionary construction in voice, image signal processing )

将一个复杂的HashMap转换成的字符传再转换为HashMap(Tranvert the String of HashMAP to HashMAP)

基于模型的设计 利用tlc编写设备驱动代码用于代码自动生成(Tlc to write device driver code for automatic code generation model-based design)

matlaba写的ahp层次分析法小程序 还有注释 经测试无误 欢迎下载(ahp software)

matlab_主成分,模式识别，用与主特征提取(principle compoment analysis)

MATLAB的用户图像界面（GUI）（源码可见），可直接运行，依次为打开原图-三分图开输出alpha图，接着打开背景图可合成新图像(MATLAB user graphical interface (GUI) (source visible), can be directly run, followed by open the original- plans to open three-point output alpha map, and then open a new background image can be synthesized)

一个用在simlink 中用 dsp builder建立的FIR滤波器，每个波形都有波形显示，是学习DSP builder和FIR滤波器好资料。(One used in the FIR filter using dsp builder simlink established, each waveform has a waveform display, learning DSP builder and FIR filter good information.)

关于单载波频域均衡的研究，将LMS算法引入SC_FDE系统当中(Equilibrium studies on single-carrier frequency domain, the LMS algorithm is introduced which SC_FDE system)

BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural networks are prone to local minimum values. The PS algorithm has superior performance in the optimization of unconstrained nonlinear functions. It can usually find the global optimal solution directly. Even if it can not find more global optimal solutions, it is not far from the global best. Of course, there is also a local extreme of the basic PO algorithm. For this shortcoming, there is no more effective, provincial and municipal solution. This case realizes the use of the SO algorithm and the BP algorithm to train the neural network. First, the network is trained in the SO algorithm, and then the BP algorithm is followed by a small range of fine searches. The essence of the PO algorithm training neural network is to regard the output error function(ie, the energy function) as the objective function, and the PO seeks a global minimum value for the energy function.)

基于MATLAB的2PSK调制,模擬錯誤率(MATLAB-based 2PSK modulation, analog error rate)