AR

sa(t)的临界采样、过采样、欠采样的matlab实现与重构(sa (t) critical sampling, over-sampling, under-sampling matlab and Reconstruction)

：压缩感知是近年来应用数学界提出的一套关于稀疏信号采集和重构的新理论，它突破了传统奈奎斯特采样定理 的限制，以远少于传统奈奎斯特采样定理所需的测量数据就能够精确恢复原信号或估计信号的相关参数。将压缩感知理论应 用到DOA估计，可以解决传统DOA估计中高采样率、以及较多辐射源信号条件下难以定位的限制。研究了基于压缩感知理 论的DOA估计方法，并利用MATLAB进行仿真，通过与传统MUSIC算法比较可知，基于压缩感知的DOA估计方法具有显著 的优势(The theory of Compressive Sensing(CS)is the application of mathematics in the field of a sparse signal acquisition and reconstruction of the new theory. It breaks through the traditional limitation of Nyquist sampling theorem. It can recover certain signals or estimate their parameters far fewer samples or measurements than traditional methods. The application of compressed sensing theory to DOA estimation can solve the traditional DOA estimation in high sampling rate, as well as more of the radiation source signal conditions is difficult to position limits. This paper studies the theory of DOA estimation method based on compressed sensing theory, and simulation uses MATLAB, compared with the traditional MUSIC algorithms, DOA estimation based on compressed sensing theory method has the obvious advantage)

牛顿欧拉递推算法——机器人动力学算法，使用matlab语言描述逆向动力学算法。(Newton-Euler recursive algorithm- Robot dynamics algorithms, the use of language to describe the reverse dynamics matlab algorithm.)

拉格朗日插值函数实例，并画出原函数和插值函数的图像。(Lagrange interpolation function instance, and draw the image of the original function and interpolation function.)

matlab神经网络30例，书和源码,都很经典，需要的同学赶快拿走(matlab neural network 30 cases of classic books and source code)

识别三类手势，采用贝叶斯分类器，提取hu不变矩特征(gesture recognition, using bayesian classifier, extracting hu moment features)

这是matlab7的编程教程,英文版,适合英文好的同学深入研究,不错喔(This is matlab7 Programming Guide, English version, suitable for students with good English-depth study, yes Oh)

matlab escription for using

遗传算法在Matlab中实现，用于估计模型参数。(genetic algorithem)

source code for SVC(Support Vector Clustering) plot,支持向量聚类画图工具，作者daewonlee(source code for SVC(Support Vector Clustering) plot,by daewonlee)