matlab-robotics

多种基于内容的视频检索镜头分割算法matlab程序，主要是检测突变，有基于直方图的方法，基于X2直方图的方法，基于像素的方法以及基于边缘轮廓法对比！对于这一领域的研究具有很好的入门作用！也是本人毕业论文所写的！视频文件建议先分离掉声音，仅保留图像系列,文件须为mpg!(A variety of content-based video retrieval lens matlab segmentation procedures, the major mutations are detected, there is histogram-based method, based on the X2 histogram method, pixel-based methods and edge contour method based on the contrast! Research in this area for a good entry role! My thesis is written! Suggest that separation of video files sound out, retaining only the image series, have to file for mpg!)

说明：  由simulink搭建的前向差分PID控制系统(Simulink erected by the PID control system prior to the difference)

Elman神经网络：Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固定的。在这种网络中, 除了普通的隐含层外, 还有一个特别的隐含层,称为关联层 (或联系单元层 ) 该层从隐含层接收反馈信号, 每一个隐含层节点都有一个与之对应的关联层节点连接。关联层的作用是通过联接记忆将上一个时刻的隐层状态连同当前时刻的网络输入一起作为隐层的输入, 相当于状态反馈。隐层的传递函数仍为某种非线性函数, 一般为 Sigmoid函数, 输出层为线性函数, 关联层也为线性函数。(Elman neural network: Elman JL Elman network is first proposed for speech processing problems in 1990. It is a typical local regression network (global feed for ward l ocal recurrent). Elman network can be seen as having a forward neural network of local memory unit and local feedback connections. Elman network has a multi-layer multilayer structure similar to the network. Its main structure is a feedforward connection, comprising an input layer, a hidden layer and output layer, which can be connected right learning correction feedback connected by a set of " structural" units, the output value of the memory for the previous time, which connection weights are fixed. In such a network, in addition to ordinary hidden layer, there is a special hidden layer, called an associative layer (or contact layer unit) this layer receives feedback signals the hidden layer, each hidden layer node has an associated layer node corresponding connection. The role of the associated layer is fo)

用Matlab仿真了基于EPC-C1G2标准的RFID阅读器发送模块的PIE编码及ASK调制。(Simulation using Matlab based on EPC-C1G2 standard RFID readers to send the module code and ASK modulation PIE.)

这是我自己收藏的两个源代码程序，比较有用，希望对大家有所帮助(This is my own collection of two source code procedures, more useful, I hope all of you to help)

optics算法 [RD,CD,order]=optics(x,k)； Aim: Ordering objects of a data set to obtain the clustering structure Input: x - data set (m,n) m-objects 对象数, n-variables 变量数 k - number of objects in a neighborhood of the selected object(OPTICS Ordering Points To Identify the Clustering Structure)

copula实现多维相关分析，采用高斯分析多维的关系(Copula implements multidimensional correlation analysis)

ofdm精同步算法实现，包含slot_test和其他8个模块(ofdm fine synchronization algorithm, including slot_test, and other 8 modules)

this code is for array factor

灰度预测模型在空气污染预测中的应用，大家可以看看(Gray prediction model in the prediction of air pollution, we can look at)