Exploring-Duplicated-Regions-in-Natural-Images

动态系统仿真例子，使用matlab语言，四阶龙格-库塔发(Dynamic system simulation example, the use of matlab language, fourth-order Runge- Kutta-fat)

中国一号信令线路信令中国一号信令线路信令(digital channel associater exchange line signalling public network, standard)

用Matlab编程，实现解决该问题的单样本训练BP网络，设置一个停止迭代的误差Emin和最大迭代次数。在调试过程中，通过不断调整隐层节点数，学习率η，找到收敛速度快且误差小的一组参数。产生均匀分布在区间[-4，4]的测试样本，输入建立的模型得到输出，与Hermit多项式的期望输出进行比较计算总误差（运行5次，取平均值）(Using Matlab programming, to solve the problem of single sample training BP network, set a stop error iterations Emin and the maximum number of iterations. In the debugging process, by continuously adjusting the hidden layer nodes, learning rate η, fast convergence and find a set of parameters small errors. Produce a uniform distribution in the interval [4,4] of the test sample, the model has been established input output with the expected output Hermit polynomial calculated by comparing the total error (run 5 times the average))

Buck boost KY DC DC Converter

对snake连接程序进行改进，使得边缘提取后断续的边缘能够完成连接。(Linker on the snake to improve so that the edge of edge detection can be completed after the intermittent connection.)

Designing a bandpass and bandstop filter using matlab.

Wiener filter with multiple parameters

实现帧解析功能，包括帧校验，控制台应用程序(To achieve frame analysis functions, including frame check, a console application)

包括主成分分析、因子分析、贝叶斯分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，是机器学习的例程，基于chebyshev的水声信号分析，在MATLAB中求图像纹理特征，阐述了负荷预测的应用研究,是学习PCA特征提取的很好的学习资料，使用混沌与分形分析的例程。( Including principal component analysis, factor analysis, Bayesian analysis, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Machine learning routines, Based chebyshev underwater acoustic signal analysis, In the MATLAB image texture feature, It describes the application of load forecasting, Is a good learning materials to learn PCA feature extraction, Use Chaos and fractal analysis routines.)

说明：  《计量地理学》（徐建华，高等教育出版社，2005）配套实习指导,利用Matlab编程计算非线性回归模型,以Logistic曲线为例( Quantitative geography (Xu Jianhua, Higher Education Press, 2005) supporting practice guidance, the use of Matlab programming non-linear regression model calculated to Logistic curve as an example)