unsat2d

lms source code for adaptive filtering the acoustic noise.

RBF网络在matlab开发环境中的实现实例，有利于初学者学习与掌握(RBF network in matlab to achieve the development environment example, be helpful for beginners to learn and master )

此程序为机器人位置正反解程序，可用此程序求出解析解(This procedure for robot location inverse solution procedures, use this procedure to derive analytical solutions)

发动机悬置系统解耦率、固有频率以及参数优化程序(Engine mounting system decoupling rate, the natural frequency and parameter optimization program)

基于均匀直线阵列的DOA估计，采用多重信号分类算法对信号源方位进行估计。(Based on uniform linear array DOA estimation, using multiple signal classification algorithm to estimate the signal source direction.)

The objective of this project is to investigate the possibility of applying a dynamic channel allocation to cMCN. The proposed method is a multihop dynamic channel assignment (MDCA) scheme that works by assigning channels based on interference information in the surrounding cells. A channel searching strategy, sequential channel searching (SCS) is developed for the MDCA scheme. This strategy is responsible for the channel updation which includes channel assignment for a new request and channel release after the completion of the communication process. Through computer simulation, we show that the proposed MDCA scheme using the SCS strategy improves the system capacity significantly.

使用Sobel算子、Laplacian算子对图像进行锐化(Using the Sobel operator, Laplacian operator for image sharpening)

线性系统基于平均驻留时间的切换控制，matlab仿真程序。(Linear system based on average dwell time switching control, matlab simulation program.)

说明：  BP网络是通过输入层到输出层的计算来完成的。多于一层的隐含层虽然能在速度上提高网络的训练,但是在实际应用中需要较多的训练时间,而训练速度可以用增加隐含层节点个数来实现,因此在应用BP神经网络进行预测时,选取只有一个隐含层的三层BP神经网络就足够了。(The BP network is completed through the calculation of the input layer to the output layer. Although the hidden layer of more than one layer can improve the training of network in speed, more training time is needed in practical application, and the training speed can be realized by increasing the number of hidden layer nodes. Therefore, when the BP neural network is used to predict, the three layer BP neural network with only one hidden layer is sufficient.)

This is the matlab model of Boost converter supplied with Rectified ac source