lms.gongxiang

基于FrFT的时变幅度LFM信号参数估计，采用二维峰值搜索算法，后用一维曲线拟合，大大减少了计算量。(The parameter estimation of LFM signal based on FrFT is based on two dimensional peak search algorithm and one dimension curve fitting, which greatly reduces the computation.)

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

语音合成PSOLA算法实现 语音合成PSOLA算法matlab实现(Speech synthesis psola algorithm achieve speech synthesis psola algorithm matlab )

蚁群算法连续域空间寻优：基于网格划分策略，无约束非线性最优问题程序实例(Ant colony algorithm for optimizing space: mesh-based strategy for unconstrained nonlinear optimal problem instance)

多用户MIMO算法仿真，包括BD,ZF,MMSE等(multiuser MIMO simulation)

说明：  基于susan算法的图像边缘检测，内有主函数，和2个子函数，可出图。(Susan algorithm based on edge detection, within the main function, and 2 sub-functions, can be a map.)

一种新型神经网络方法对于粒子追踪测速。与于、普通的单个粒子分析，匹配的算法不同的是，该算法是基于小整体的众多粒子一起分析的。(A new type of neural network method for particle tracking velocimetry)

K均值聚类算法，可用于预先定义好种类数的样本聚类(K means clustering algorithm)

基于GA优化的SVM算法，它可以被用于预测分类(SVM algorithm based on GA optimization for prediction classification)

基于MATLAB编程的最小噪声分离方法处理高光谱影像（Minimum Noise Separation Method Based on MATLAB Programming for Hyperspectral Image Processing）(Minimum Noise Separation Method Based on MATLAB Programming for Hyperspectral Image Processing)