libsvm_3_select_cu_regression

数字信号处理专业课程设计报告书，有关实验报告及相关的matlab程序。(Digital signal processing curriculum design report about lab reports and related matlab program.)

matlab指令讲解，和常见算法分析，，非常具体。。初学者实用(matlab command explanation, and the common algorithm analysis, and very specific. . Useful for beginners)

说明：  非常实用的几个程序代码，请大家继续编程进行完善。(Several very useful code, please continue to improve programming.)

Matlab仿真应用模型，仿真电力系统的各种故障类型，基于SIMULINK(Matlab simulation application model, simulation of various fault types of power system based on SIMULINK)

一种分析混沌信号的多重分形谱的简单程序，尤其分析网络流量中尤为有效

Generation of different beampattern

Matlab单队列多服务台仿真总流程图 本系统仿真程序采用事件步长法进行仿真，由以下功能模块组成： 1、仿真时钟； 2、事件表； 3、系统状态变量； 4、初始化子程序； 5、事件子程序； 6、调度子程序； 7、时钟推进子程序； 8、随机数产生子程序； 9、输出函数子程序； 10、统计计数器； 11、主程序。(Matlab simulation of the total single-queue multi-desk system simulation program flow chart of the step method used to simulate the event by the following functional modules: 1, simulation clock 2, the event table 3, the system state variables 4, the initialization sub- procedures 5, event subroutine 6, the scheduling routine 7, the clock forward subroutine 8, random number generation routine 9, the output function routine 10, statistical counters 11, the main program.)

本文通过对当前实时控制的应用研究，提出了将离线仿真与实时控制有机结 合起来，利用MATLAB实现对直线单级倒立摆实时控制的思路。经过分析比较， 确定了基于MATLAB的Real-Time Windows Target实时内核开发硬件驱动程序 的实时控制方案，将Simulink生成的仿真模型下载到目标实时内核中运行，驱动 外部硬件设备，实现对倒立摆的控制。文中介绍的在Real-Time Windows Target 实时内核环境中开发第三方设备驱动程序的方法，是构建本实验平台的核心技术 之一，具有普遍适用性，有一定的推广价值。(Based on the current real-time control of the applied research, raised offline simulation and real-time control organically combined to realize the use of MATLAB linear single-stage inverted pendulum idea of real-time control. After analysis and comparison, to determine based on MATLAB)

对实验数据的FFT分析，可以显示时域和频域的结果(FFT analysis of the experimental data, can display the results of the time domain and frequency domain)

说明：  核极限学习机是一种单隐层前馈神经网络(the single-hidden layer feedforward neural networks,SLFNs),其只需要设置隐藏层节点数,然后采用最小二乘法计算出权值即可。因此,核极限学习机在学习速度和泛化能力上具有很大优势。(Kernel limit learning machine is a single hidden layer feedforward neural networks (slfns). It only needs to set the number of hidden layer nodes, and then use the least square method to calculate the weight. Therefore, the kernel limited learning machine has a great advantage in learning speed and generalization ability.)