MFILE556

ofdm simulation using matlab

LAB2RGB Convert an image from CIELAB to RGB function [R, G, B] = Lab2RGB(L, a, b) function [R, G, B] = Lab2RGB(I) function I = Lab2RGB(...)

matlab 可视化 微分方程 线性方程 元胞自动机 晶体生长 金融(linear equations matlab visualization of cellular automata crystal growth differential financial)

如何使用MATLAB编程，里面有详细的说明，大家可以试试。满好的教程(How to use the MATLAB programming, which is described in detail, we can try. Man good tutorial)

对于双容系统的延迟系统采用PID串级控制，本程序采用matlab编程实现，效果很好(For double let system delay system adopts PID cascade control, this procedure using matlab programs, the effect is very good )

针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。(In order to improve short-term wind speed prediction accuracy of wind farms，a combined prediction method based on the wavelet transform is proposed. Firstly，the db3 wavelet is used for three-layer decomposition and reconstruction for short-term wind speed time series through Mallat algorithm. The approximation components and the detail components of the short-term wind speed are then obtained. Next，according to the different characteristics of these components，the least square support vector machine optimized by particle swarm algorithm and the autoregressive integrated moving average model are adopted as the predictivemodels for the approximate components and the detail components respectively. Then，the final predictive value of the short-term wind speed is obtained by the combination of the two components. The simulation results indicate that higher accuracy can be obtained in this prediction method.)

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)

城市交通流的运行存在着高度的复杂性、时变性和随机性,实时准确的交通流预测是智能交通系统,特别是先进的交通管理系统与先进的出行者信息系统研究的关键. 基于交通流预测的特点,给出了基于遗传算法的小波神经 网络的交通预测模型GA-WNN ,用具有自然进化规律的遗传算法来对小波神经网络的连接权值和伸缩平移尺度进行前期优化训练,部分代替了小波框架神经网络中按单一梯度方向进行参数优化的梯度下降法,克服了单一梯度下降法易陷入局部极小和引起振荡效应等缺陷. 仿真实验验证了GA-WNN 预测模型对短时交通流的预测的有效性.(For the high complexity ,time-variation and probability of urban traffic flow , its real-time and exact prediction is critical to the research of intelligent traffic systems , especially for the advanced traffic manage-ment system and advanced traveler information system. Based on the character of the traffic flow prediction , a GA-WNN model is given based on the wavelet neural network with genetic algorithm. The genetic algorithm of natural evolving law for the gradient descendent algorithm in Wavelet Neural Network is partly substituted to pre-optimize the connection weight and the extension scale of the wavelet neural network and later optimize the parameters along a single gradient vector. This method overcomes some drawbacks when there exists a single gradient descendent algorithm , such as local minimum and oscillation. A short-time traffic flow prediction sim- ulation using the GA2WNN prediction model demonstrates the validity of the model .)

MATLAB程序调用SIMULINK的级联码误码仿真RS223_CONV_BPSK_simulink(MATLAB SIMULINK RS223_CONV code RS223_CONV_BPSK_simulink)

利用pcnn脉冲耦合神经网络进行图象滤波,利用pcnn定位图象噪声,根据定位情况进行滤波,输出(Using pulse coupled neural network PCNN for image filtering, image noise using PCNN positioning, according to location to conduct filtering, output)