exercise1_DCmotor

ELM超限学习机的拓展应用，多层感知机，可用于特征提取( Expand the application ELM overrun learning machine, MLP can be used for feature extraction)

通过叠加期限结构和动量效应来构建期货多品种对冲策略(multi-futures hedge stragety)

单极性PWM控制方式Simulink仿真，很简单，便于电力电子初学者学习，里面还加了一个模拟滤波器，也很简单，但想法非常重要(Unipolar PWM control Simulink simulation, very simple, easy for beginners to learn power electronics, which also added a simulated filter, is also very simple, but very important idea)

bpsk modulation in matlab environment

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

小孔径光电导天线产生太赫兹波的辐射特性(Produce small aperture photoconductive terahertz antenna radiation characteristics)

Modulation ASK for matlab, including all digital communication system, such as codification and the behaviour of an ideal and a gaussian channel

matlab高频分析工具箱，包括各种谱分析函数(frequency analysis matlab toolbox, including spectral analysis functions)

二维中子扩散方程计算，计算二维堆内中子通量分布情况。(Two-dimensional neutron diffusion equation)

wireless sensor networks for LEACH