DTCDPE

The random walker algorithm was introduced in the paper: Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Computer Vision Approaches to Medical Image Analysis and Mathematical Methods in Biomedical Image Analysis, p. 230-245, May 15th, 2004, Prague, Czech Republic, Springer-Verlag. Available at: http://cns.bu.edu/~lgrady/grady2004multilabel.pdf

code in matlab for detection

一个简单的adaboost分类的方法。随机生成两组数据，训练分类器。之后再生成两组数据进行分类。效果很好(A simple way adaboost classification. Randomly generated two sets of data, to train a classifier. After re-generate two sets of data classification. Good results)

说明：  利用Matlab编写求取4级移位寄存器的M序列 设初始序列为:1 1 1 1 通过一个四级的移位寄存器,其中在第三级有负反馈(一个模二加法),即将序列的第三位和第四位相加(如序列1 1 1 1经移位寄存器第一次移位后为0 1 1 1)的值再赋到第一位. 序列的周期为16.(The use of Matlab to prepare to strike four of the M shift register sequence based initial sequence as follows: 1 1 1 1 4 through a shift register, which in the third grade there is negative feedback (one-mode two adder), the upcoming series third and fourth combined (such as the sequence 1 1 1 1 by the shift register after the first shift for the 0 1 1 1) the value given to the first again. The cycle sequence was 16.)

matlab基础例程，用于绘图和信号处理，例程很典型。(Basic Matlab routines, used for drawing and signal processing. Very typical routines.)

大学数学实验-清华出版社-姜启源-第4章例题源代码 (Mathematics Experiment-Tsinghua University- Chapter 4 Example)

《MATLAB 7.0编程基础基础》源程序 第7章(Chapter 7 of the " MATLAB 7.0 programming foundation foundation source)

说明：  采用BP神经网络对电力系统负荷进行预测，预测结果与实际结果的误差较小，可作为电力公司进行优化调度的依据。(BP neural network is used to predict the load of power system. The error between the predicted result and the actual result is small, which can be used as the basis for optimal dispatching of power companies.)

matlab常用函数集锦，对初学matlab的人会有帮助。(Collection of commonly used functions matlab, matlab for beginners will help the person.)

对于初学者很有用的EMD程序。供大家参考。(EMD useful for the beginner process. For your reference.)