5-storey-Shear-Frame

正交扩频码ooc的matlab代码。五个用户情况(Orthogonal spreading code of the matlab code for ooc. Five users of)

应用层次分析法用MATLAB软件做出这道题的程序

A semi blind technique for estimating the carrier frequency offset in OFDM communication systems is presented in this paper. The fractional and integer frequency offsets are esti-mated by employing a few null subcarriers in the rst OFDM symbol in a frame. While the conventional null subcarrier based methods estimate the offset by a single global search, the proposed method employs a two stage estimator, which greatly minimize the computational complexity.

利用MATLAB展示风玫瑰图,进行气象分析，统计分析，以及风资源分析(plot windrose pictures by matlab)

系统辨识及其MATLAB仿真,白噪声产生程序(System Identification and MATLAB simulation, white noise generator)

语音文件中有单频噪声，设计高频滤波器和低频滤波器进行语音滤波(Audio files with a single frequency noise, high frequency filters and low-frequency filter design for voice filtering)

采用MATLAB对常见插值 和拟合算法进行变成，并附有PPT文档说明(Using MATLAB and the fitting of the common interpolation algorithms become, along with documentation PPT)

用matlab对lenna图像进行处理，方法是自适应加权中值滤波，自己写的。(Lenna with matlab image processing of the method is adaptive weighted median filter, write your own.)

针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题，提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点，采用可调整的算法模型对粒子群算法进行改进，将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理，将优化后的卡尔曼滤波器应用于感应电机转速估计。( Extended Kalman Filter for induction motor speed estimation problem is difficult to obtain a Kalman filter system noise matrix and the measurement noise matrix optimal value proposed speed estimation method based on improved particle swarm optimization of the extended Kalman filter. By virtue of the genetic algorithm and particle swarm optimization algorithm fusion algorithm using the adjustable model PSO improvements that will improve the PSO extended Kalman filter system noise matrix and the measurement noise matrix optimization process, the optimized Kalman filter is applied to the induction motor speed estimate.)

本算法为用遗传算法改进粒子群GA-PSO算法，附带含有程序使用说明。(This algorithm uses genetic algorithm to improve particle swarm optimization GA-PSO algorithm, with instructions for the use of the program.)