MATLAB-entry-and-improve

matlab中添加噪声的程序代码matlab中添加噪声的程序代码matlab中添加噪声的程序代码matlab中添加噪声的程序代码v(Add noise matlab code matlab code to add the noise to add noise in matlab code matlab code to add the noise v)

Analysze the spped voltag current of the motor..when the fault occur in the line then it automatically recovers..pwm pulse generators are used

仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度，分析不同信号所包含的频谱分量，有无直流分量和定时分量信息 (Simulation different duty cycles, etc. There is, and so there was a non-random signal bipolar rectangular normalized power spectral density analysis of the spectral components of different signal contained, with or without DC component and timing component information)

文件中为几类贝塞尔函数，基于MATLAB编写(Bessel functions of several files, based on MATLAB prepared)

说明：  ：该文首先研究了单认知用户能量检测算法的检测性能和检测灵敏度与检测时长和噪声短时间内平均功率波 动性之间的关系，得出检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降的结论，在低信噪 比时尤为明显；针对检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降，提出了基于多用户 协同能量检测算法。仿真表明，在低信噪比环境下，即使噪声短时间内的平均功率存在较大的波动性，只要适当地 增加协同检测的用户数，仍可获得较为准确的检测性能。(In this paper, detection performance and detection sensitivity with detection duration and noise average power fluctuation in short time is investigated firstly. Performance accuracy and detection sensitivity drop quickly with noise average power fluctuation increasing and it is worse when signal-to-noise ratio lower. Considering the characteristic, a novel new energy detection algorithm based on cooperative is presented. Simulations show that the proposed scheme improves antagonism of noise average power fluctuation in short time and gets a good detection performance as long as increasing the number of cooperative detection users.)

3freedom机器人 matlab 仿真源码(3freedom robot matlab simulation source code)

Video Processing. Extract movie frame

机器人控制系统的设计及其matlab仿真第5章“机器人迭代学习控制及重复控制”源代码(The robot control system design and its matlab simulation Chapter 5, " the robot iterative learning control and repetitive control" source code)

matlab program for speech processing

matlab去噪程序 应用于逆向中大量点云数据的处理(matlab denoising procedure applied to reverse a large number of point cloud data processing)