LFM_single_pulse

％ BackgroundRemoval=[true],false ％ Gain=[tsquare],linear ％ BandPass=[paul],fircls ％ CenterFrequency, auto (determined using pburg) ％ BandWidth=auto (a fraction of the CenterFrequency default=0.25) ％ ContrastStretch=[true],false ％ HilbertAmplitude=[true],false ％ HorizontalStacking=1 (a number of traces) ％( BackgroundRemoval = [true], false Gain = [tsquare], linear BandPass = [paul], fircls CenterFrequency, auto (determined using pburg) BandWidth = auto (a fraction of the CenterFrequency default = 0.25) ContrastStretch = [true], false HilbertAmplitude = [true], false HorizontalStacking = 1 (a number of traces))

说明：  通过Monte Carlo仿真，说明DS扩频信号在抑制正弦干扰方面的有效性。用一均匀随机数发生器产生某个二进制信息符号的序列，每个信息比特重复Lc次。 包含文件：DS_restrain_interference.M SS.M(through Monte Carlo simulation, note DS spread spectrum signal sinusoidal interference in inhibiting the effectiveness. Using a uniform random number generator produce a binary sequence information symbols, each bit of information to repeat Lc times. Documents include : DS_restrain_interference.M SS.M)

1、设计一个二阶微分系统，求激励输入所产生的响应 2、绘出一些函数的图形 3、运算特殊函数的快速傅里叶变换 4、学会用MATLAB的GUI(1, design a second-order differential system, seeking to respond to incentives generated by the input 2, 3 draw some of the functions of the graphics, computing special functions of the fast Fourier transform 4, learn to use the MATLAB GUI)

BUCKBOOST MPPT FOR PV SYSTEM

distribution-system in ycase m file

This paper studies a cooperative cognitive radio net-work where two primary users (PUs) exchange information with the help of a secondary user (SU) that is equipped with multiple antennas and in return, the SU superimposes its own messages along with the primary transmission. The fundamental problem in the considered network is the design of transmission strategies at the secondary node. It involves three basic elements: first, how to split the power for relaying the primary signals and fo

MWC sub nyquist sampling Compressive sensing

block turbo codes matlab

MeanShift运动目标跟踪 matlab程序 思路： 1.截取跟踪目标矩阵rect 2.求取跟踪目标的加权直方图hist1 3.读取视频序列中的一帧， 先随机取一块与rect等大的矩形，计算加权直方图hist2。 4.计算两者比重函数，如果后者差距过大， 更新新的矩阵中心Y，进行迭代（MeanShift是一种变步长可以迅速接近概率密度峰值的方法），直至一定条件后停止。 (MeanShift moving target tracking matlab program ideas: 1. Interception target tracking matrix rect 2. Strike target tracking weighted histogram hist1 3. Reading of a video sequence, first randomly selected one with such a large rectangle rect, calculate the weighted Histogram hist2. 4 Calculate the proportion of both functions, if the latter gap is too large, updated new matrix center Y, iterative (MeanShift is a variable step size can rapidly approaching the peak of the probability density method), until certain conditions stop.)

说明：  SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能： 实验设计：中心复合设计，全因子设计，拉丁超立方体设计，D-optimal和maxmin设计。 代理：克里金法，多项式响应面，径向基神经网络和支持向量回归。 错误和交叉验证的分析：留一法和k折交叉验证，以及经典的错误分析（确定系数，标准误差;均方根误差等;）。 基于代理的优化：高效的全局优化（EGO）算法。 其他能力：通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities: Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression. Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others). Surrogate-based optimization: efficient global optimization (EGO) algorithm. Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.)