suojian

传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能： 1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线； 2） 给出了最陡下降法以及LMS算法的计算公式； 3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线； 5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； 7）最终对结果进行了分析，具体见压缩包的word文档。 (Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:   A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve 2 ) gives the steepest descent method and the LMS algorithm formula 3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl)

contains the gui for ofdm frequency offset.

MATLAB三维显示地震数据, 开放小工具。 这个开放MABLAB三维绘图小工具, 非常好用, 可进行SLICE, CONTOUR, 等交互功能. (MATLAB display three-dimensional seismic data, open the gadget. An open three-dimensional graphics MABLAB gadget, very easy to use, it can conduct SLICE, CONTOUR, and other interactive features.)

对于N=11的标准线阵，分别采用如下波束形成器进行最优波束形成，要求含有干扰信号和噪声。 1、最小方差无失真响应（MVDR）波束形成器； 2、最小功率无失真响应（MPDR）波束形成器。(Minimum variance distortionless response (MVDR) beamformer Minimum power distortionless response (the MPDR) beamformer.)

粒子群优化方法，并行计算，收敛速度快，利于全局优化，算法实现简单(Particle Swarm Optimization)

内容包括离散时间信号简介、随机变量和随机过程的基本知识、维纳滤波器的基本知识、误差性能曲面的性质、牛顿法、最陡下降法、LMS算法及各种改进算法、最小二乘算法等的介绍。(Include discrete-time signal profiles, random variables and a basic knowledge of stochastic processes, Wiener filter basic knowledge of the nature of the error performance surface, Newton method, steepest descent method, LMS algorithm and a variety of improved algorithms, least-squares algorithm such as introduction.)

Simple multiobjective optimization

说明：  电气化铁路AT牵引网的谐波模型，调试成功!(AT electrified railway traction network harmonic model, debugging success!)

二维TE波传播的FDTD仿真，UPML边界条件(TE wave propagation in two-dimensional FDTD simulation, UPML boundary conditions)

基于MATLAB实现的说话人识别程序(声纹识别)，分别用bp、pnn、som、rbf、lvq等算法(Speaker recognition program based on MATLAB (voice recognition), respectively BP, PNN, SOM, RBF, LVQ algorithm)