heat

说明：  关于卡拉曼滤波的~运动目标状态估计方法的研究(Karaman filter on ~ moving target state estimation method for)

多用户检测方向的pastd算法的SIR-迭代次数仿真可以直接运行程序简单明了，MATLAB(SIR-iterations pastd direction of multi-user detection algorithm simulation can run simple programs, MATLAB)

通过寻找Z变换矩阵，对给定矩阵进行降相关运算。相关专业的朋友懂的。(By finding the transformation matrix Z, given the lower correlation matrix operations. Relevant professional friends understand.)

使用低通滤波器从含有噪声的信号中提取有用的正弦波 (见实验指导书 实验九 数字滤波器中的第一题) 目的：用数字滤波器从含有高频噪声的采样数据中提取正弦信号。 要求：①输入信号为一正弦波，并加入一个白噪声的干扰来模拟信号传输中的随机干扰信号（用以模拟含有噪声采样序列）。 （模拟含有噪声采样序列具体可用正弦波信号叠加高频噪声来实现，为了使滤波效果明显，本实验的高频噪声是用高频均匀分布白噪声（Uniform）通过Butterworth高通滤波器过滤生成的，高通滤波器的截止频率设为10倍输入信号频率。） ②在程序中设计一个低通巴特沃斯滤波器，以滤除信号中的噪声分量，提取输入的正弦波信号 。 ③可调节信号滤波器的截止频率和阶数，可显示滤波前与滤波后的时域信号。 ④给出滤波前与滤波后的频谱特性的显示。 (Using low pass filter extracting useful sine wave signal containing noise(see experiment instruction digital filter in the first nine questions)Objective: to use digital filter sampling data extract containing high frequency noise sine signal.Requirements: (1) the input signal is a sine wave, and add a white noise interference to simulate the random disturbance signal of the signal transmission (to simulate contains noise sampling sequence).(simulated the sampling sequence contains noise available sine wave signal superposition of high frequency noise, in order to make the filtering effect is obvious, the experiment of high frequency noise is Uniform distribution with high frequency white noise (Uniform) by Butterworth high-pass filter to filter generated, high-pass filter cutoff frequency set to 10 times the size of the input signal frequency.)(2) in the program design a low-pass butterworth filter, in order to filter out the noise in the signal component, extract the input sine wav)

single phase induction motor with permanent capacitor in dq axis

gpc law for matlab and gpc calculated

有关可变码长的LDPC编码电路的设计与实现和一些相关的英文资料以及文献(LDPC)

说明：  SAR雷达模拟的PPT，讲述SAR雷达回波模拟的具体原理，实现方法，和仿真结果(SAR)

Function to plot uncertainty 3-sigma ellipse in matlab

该文档是matlab工具箱的安装使用手册： PSOt为PSO的工具箱，该工具箱将PSO算法的核心部分封装起来，提供给用户的为算法的可调参数，用户只需要定义好自己需要优化的函数(计算最小值或者最大值)，并设置好函数自变量的取值范围、每步迭代允许的最大变化量(称为最大速度，Max_V)等，即可自行优化。(The document is the installation of matlab toolbox manual: PSOt toolbox for the PSO, the PSO algorithm toolbox to the core package and up to the user adjustable parameters for the algorithm, users only need to define their own needs better optimization function (calculated minimum or maximum), and set a good range of functions from the variables, each iteration the maximum allowable variation (known as maximum speed, Max_V), etc., can be self-optimization.)