berbpskmimozf

说明：  控制外部程序 显示或隐藏 有需要的朋友可以下载试试 功能可以实现(控制外部程序 显示或隐藏)

matlab file for script logging. can plot file

振动信号的FFT分析，含有具体的振动算例(FFT analysis of vibration signals, vibration contain specific examples)

matlab codes to determine normalized correlation, psnr and log of an image

根据果蝇优化算法得到极速学习机隐层神经元的数目依据得到的隐层神经元数目和极限学习机的方法对训练样本和测试样本进行训练学习。(According to the fruit flies optimization algorithm to get extreme learning machine based on the number of hidden layer neurons of hidden layer neurons number and extreme learning machine method of training samples and testing samples to carry on the training study.)

Person Identification Using Ear Biometrics

利用单元平均CFAR门限以及单元平均选大CFAR来实现信号的频谱搜索(Using cell average CFAR threshold and average unit chosen CFAR to realize the signal spectrum search )

用matlab 编写的英文字母识别的程序，附带样本和测试库，可以运行(alphabet recognition high performance)

说明：  四旋翼无人机是一种可以被遥控也可以在无人为控制的状态下执行预定任务的飞行器，与传统直升机相比四旋翼飞行器的机械结构简单，且具有高精度，灵活精度以及较低成本的特点，被广泛用于军事侦察，农艺播撒、快递派送、摄影工作等领域。四旋翼飞行器自身具有欠驱动、多变量、非线性等特性，在外界的噪声干扰情况下，增加了四旋翼无人机的不稳定以及控制系统的设计难度。所以对四旋翼飞行器的位姿控制的研究，可以开拓科研人员对控制算法以及滤波算法的认知，具有重要的研究意义。(Four-rotor UAV is a kind of aircraft that can be controlled remotely or perform scheduled tasks without human control. Compared with traditional helicopters, the Four-rotor UAV has simple mechanical structure, high precision, flexible precision and low cost. It is widely used in military reconnaissance, agricultural broadcast, express delivery, photography and other fields. Four-rotor UAV has the characteristics of under-actuation, multi-variable and non-linearity. Under the circumstance of external noise, the instability of Four-rotor UAV and the difficulty of control system design are increased. Therefore, the research on attitude control of Four-rotor aircraft can broaden the knowledge of control algorithm and filtering algorithm for researchers, and has important research significance.)

基于混沌扰动算法来解决pso算法早熟问题，并用二者结合来训练灰色预测模型参数(Perturbation algorithm based on chaotic PSO algorithm to solve the early problems and to train with a combination of both gray prediction model parameters)