projekat

SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)

电子书，专门介绍matlab的mapping制图工具箱mapping toolbox.pdf(E-books, dedicated to matlab toolbox of mapping mapping mapping toolbox.pdf)

八阵元智能天线阵列接收4个信号，用Matlab仿真实验验证波达方向估计，主要涉及的算法是MUSIC和MVDR(Eight smart antenna array receiver array element 4 signals, with the Matlab simulation results verify the estimation, mainly related to the algorithm is MUSIC and MVDR)

这五个源代码介绍了如何创建matlab GUI以及各种控件的放置调用(The five source code shows how to create a matlab GUI and the placement of the various controls calls )

自适应代码，根据论文写得，结果和论文一样，可供参考。(Adaptive code, according to papers written, and papers as a result, for reference.)

MUSIC算法的方位角估计以及频率估计 精度可调(Azimuth Estimation and Frequency stimation of MUSICAlgorithm Accuracy adjustable)

根据有无固定基础设施，无线局域网又可分为BSS (Basic Service Set)和IBSS (Independent Basic Service Set)。我们要研究的ad hoc网络属于后者。假设在一个ad hoc网络中，移动节点的发射功率PTx总是恒定的。要发送数据的移动节点总是先监听信道，测量接收到的信号功率X，其中X= I + N, I为接收到的干扰，N是噪声。移动节点只有在X＜INThre时，才可以发射。式中，INThre为背景噪声门限。 在仿真中，我们规定每个移动节点的发射功率是常数，PTx = 1W；接收节点接收机的灵敏度Smin = -80 dBm；信号质量 min = 2 dB；系统的背景噪声门限INThre = 1.2e-10。 (According to the availability of fixed infrastructure, wireless local area network can be divided into BSS (Basic Service Set) and IBSS (Independent Basic Service Set). We have to study the ad hoc network belong to the latter. Assuming in an ad hoc network, mobile node s transmission power is always constant PTX. To send data to the mobile node always monitor channel, measuring the received signal power X, which X = I+ N, I was received interference, N is the noise. Mobile node only when X <INThre when it is fired. Where, INThre threshold for background noise. In the simulation, we require that each mobile node s transmission power is constant, PTx = 1W receiver node receiver sensitivity Smin =-80 dBm signal quality )

通过在matlab平台上运行这个程序，可以画出一个生动的玫瑰花，赶快把你的女朋友或者心仪的女生叫到电脑旁边给她一个惊喜吧。(this source code can help you show your love to somegirl by giving a wonderful rose plot.)

Image Steganography Using Wavelet (Discrete Wavelet Transform) The m-file contains further details

Applied Speech and Audio Processing-With Matlab Examples - Copy