analysis

麦克风阵语音增强中的子带分解MATLAB源代码(The sub-band decomposition of speech enhancement MATLAB source code)

PID的先进程序仿真 (matlab&simulink for PID)

高斯背景建模源代码，实现背景建模，但前景处理效果不好(Gaussian background modeling source code to achieve the background modeling, but the outlook is not good treatment effect)

用于描述图形周围GVF力场分布图，必须有前置的GVF源码，这个代码才能发挥作用(GVF force field used to describe the graphics around the map, must have front of the GVF source, this code can play a role)

智能天线中的d music 算法，可以实现波束赋形，权值优化等(smart antenna d music )

说明：  通用Matlab求出：两个圆的交点坐标(不用solve语句)(Using MatLab program to get the intersection of two circle.)

PC parallel LPT port pinout

matlab与C混合编程的实例，求解两个矩阵的和。(An example of matlab-C mixed programming,getting the adding solution of two matrixes.)

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 .)

这是我们第一次实习的MATLAB的答案，希望对大家有所帮助，呵呵，你们也认为呢？希望我们共同建设好这个网站，我们需要她！(This is the first time we attachment MATLAB answer, and I hope to help you, Oh, you think? We hope to build a good web site, we need her!)