relay-and-location-election

基于Matlab开发的数字波束形成算法（含界面和6个小算法）(based on the development of the Matlab digital beamforming algorithms (including interface and six small algorithm))

基于matlab的PCA人脸识别完成程序，包含特征值与特征向量的提取、训练样本以及最后的识别检验。(err)

基于STSF的近场平面声全息仿真程序，以2个不相干的点声源为例(STSF based NAH)

文件包含现代信号处理的常用算法的matlab源代码(File contains commonly used algorithm modern signal processing matlab source code)

经典的香农采样定理认为,为了不失真地恢复模拟信号,采样频率应该不小于奈奎斯特频率(即模拟信号 频谱中的最高频率)的两倍.但是其中除了利用到信号是有限带宽的假设外,没利用任何的其它先验信息.采集到 的数据存在很大程度的冗余.Donoho等人提出的压缩感知方法(Compressed Sensing或Compressive Sampling, CS)充分运用了大部分信号在预知的一组基上可以稀疏表示这一先验信息,利用随机投影实现了在远低于奈奎斯 特频率的采样频率下对压缩数据的直接采集.该方法不仅为降低采样频率提供了一种新思路,也为其它科学领域 的研究提供了新的契机.该文综述性地阐述了压缩感知方法的基本原理,给出了其中的一些约束问题和估计方法, 并介绍压缩感知理论的相关问题———矩阵填充,最后讨论了其未来可能的应用前景. (According to the conventional Shannon s sampling theorem,in order to represent the analog signal,the sampling rate should not be less than twice the Nyquist sampling rate.Howev- er,this theorem only makes use of the bandwidth information.As a result,the collected data contain many redundant information.The recently proposed sampling method,compressed sens- ing or compressive sampling(CS),can collect compressed data at the sampling rate much lower than that needed in Shannon s sampling theorem by exploring the compressibility of the signal. This paper presents a review on the basic theory of CS.Some of the restrictions and recovery methods in CS are also discussed.Finally,some potential applications based on CS are presented. )

最小二乘算法的实例，适合于初学者下载，附有详细注释(Examples of least-squares algorithm, suitable for beginners download, with detailed notes)

MATLAB多项式数值分析教程MATLAB Numerical Analysis polynomials tutorial(MATLAB Numerical Analysis polynomial MATLAB Numerical Analysis polynomials tutorial tutorial)

Matlab数字信号处理工具箱 MATLAB已带有数字信号处理工具箱，但不少数字信号处理学者又发展出一些数字信号处理的函数，例如我们会常用到ideal_lp、Hr_type1、dft、idft、Circonvt、freqz_m，...等等，《数字信号处理---使用MATLAB》一书提供了这样的工具箱，内容如附图，工具箱在附件中。(Digital Signal Processing Toolbox Matlab)

it includes pattern recognition tools for matlab software

Newton Interpolation Method Values yi of the interpolating polynomial at the points xi. Coordinates of the points of interpolation are stored in vectors x and y. Horner s method is used to evaluate a polynomial. Second output parameter a holds coeeficients of the interpolating polynomial in Newton s form.