qpsk

小波分解与重构，用VC6.0和MATLAB实现的混合编程，用MFC实现的界面设计。(Wavelet decomposition and reconstruction, with VC6.0 and MATLAB implementation of the hybrid programming, interface design implemented with MFC.)

K-SVD是一种经典的字典训练算法，依据误差最小原则，对误差项进行SVD分解，选择使误差最小的分解项作为更新的字典原子和对应的原子系数，经过不断的迭代从而得到优化的解。(K-SVD is a classic dictionary training algorithm, based on the principle of minimum error, the error items SVD decomposition, choose to make the smallest error decomposition item as an updated dictionary of atoms and atomic corresponding coefficient, through constant iteration to obtain an optimized solution.)

实验名称:投资组合分析 实验性质：综合性和研究探索性 实验目的：熟练运用投资组合工具箱，学会构造有效前沿组合的方法，掌握最优投资组合的计算方法；给出投资组合VaR 的值。 实验任务：选择股票并从万得下载数据，计算证券的预期收益率、标准差和协方差，设定一组约束条件，构造最优投资组合并计算该组合的Var值。 实验设备：计算机 实验软件：Matlab2013 Wind数据库 选择一组股票作为投资标的，构造投资组合，通过估计收益率均值、计算方差、协方差，计算该投资组合权重、在险价值、画出有效前沿。(Experimental Name: Portfolio Analysis Experimental nature: comprehensiveness and research exploration The purpose of the experiment is to skillfully use the portfolio toolbox, learn to construct effective frontier portfolio method, grasp the best investment portfolio calculation method, and give the value of portfolio VaR. Experimental tasks: select stock and download data from Wan De, calculate the expected return, standard deviation and covariance of securities, set up a set of constraints, construct the optimal portfolio and calculate the Var value of the portfolio. Experimental equipment: computer Experimental software: Matlab2013 Wind database A group of stocks is selected as investment target, and a portfolio is constructed. By estimating the mean value, variance and covariance of the yield, we calculate the portfolio weight, value at risk and draw effective frontier.)

说明：  本程序包括树木、草以及鲜花的加载，花和草可以在风中摆动，这个动态森林很逼真(This procedure, including trees, grass and flowers of the load, flowers and grasses can be swinging in the wind, the dynamics of forest is very realistic)

说明：  不是源码,是c++与matlab的接口问题 非常好的文章(not source, and c is the Matlab interface very good article)

bm3d图像去噪算法，3个文件 用于处理灰度图像(version 1.7 grey image)

matlab ti2000系列DSP基于模型设计的例程，simlink+ccs+硬件直接可以生成C语言代码，在硬件中可以直接运行。(matlab ti2000 series DSP can generate C code model-based design routines, simulink+ ccs+ hardware, you can run directly in hardware.)

用最速下降法求解无约束非线性规划问题,最大奇异值,其梯度列向量(Using the steepest descent method solving unconstrained nonlinear programming problem)

基于matlab，数值分析，代码编程实现，作业(Matlab, the numerical analysis, programming code )

说明：  信号处理综合应用中的声估计MATLAB程序(Signal processing integrated application of sound estimated MATLAB program)