Chapter44

Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen

F16的六自由的非线性气动模型，用于飞行控制和仿真，matlab编写(F16 six free nonlinear aerodynamic model for flight control and simulation, matlab write)

kanon歌曲matlab实现，运行可以听到kanon歌曲的旋律(The kanon Song matlab realize, running can hear the the kanon song' s melody)

binary information regarding matlab code for cognitive radio. primary user and secondary users sense the spectrum using co operative sensing scheme

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小波神经网络代码？？、、、、、、、、、、、、(learn matlab)

PCA又为主成分分析，是一种特征提取方法， 它通过线性变换寻找一组最优的单位正交向量基，用他们的线性组合来重构原样本(PCA and the main component analysis, a feature extraction method, which by finding a set of optimal linear transformation unit orthogonal base vectors, with their linear combination to reconstruct the original sample)

信号与系统课程的Matlab编程指导，用于本科生教学和科研。(Signal and System Matlab Program)

3GPP LTE测试协议，适用于无线通信领域的研究人员，学生，教师，和工程技术人员使用。由3gpp ran5工作组讨论并发布。(3GPP LTE testing protocol, it is used by research ,students ,teachers and engineerings .It is released by 3gpp RAN5 work group.)

在基于前景检测的基于移动物体检测和车辆跟踪算法的实现中，针对广泛的应用来实现读取AVI文件，并将其分解为R，G和B组件。 执行各种操作并检测移动物体。 各个阶段的阈值决定了识别某些尺寸的移动物体的可能性。 移动物体也在其中跟踪。 MATLAB用于实现算法。 该算法用包含120帧的输入avi格式视频文件进行测试。 研究并实现了这些算法的各种应用。(In this foreground detection based moving object detection and vehicle tracking algorithm is implemented targeting a wide class of applications. An AVI file is read and it is decomposed into R, G and B components. Various operations are carried out and the moving objects are detected. Thresholds at various phases are decide the possibility of identifying the moving object of certain sizes. Moving objects also tracked in it. MATLAB is used for implementation of the algorithm. The algorithm is tested with input avi format video files consisting of 120 frames. Various applications of these algorithms are studied and implemented. Main focus is given on (unmanned aerial vehicle) UAV based and automatic traffic estimation applications)