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Volterra_MultiStepPred_luzhenbo
- 基于Volterra滤波器混沌时间序列多步预测 作者：陆振波，海军工程大学 欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页 电子邮件：luzhenbo@sina.com 个人主页：luzhenbo.88uu.com.cn 参考文献： 1、张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03 2、Scott C.Douglas, Teresa H.-Y. Meng, Normalized Data Nonlineariti
hipr
- 使用push-relabel方法求解最大流问题，是国外的一个研究机构编写的，速度很快。-This is an efficient implementation of the push-relabel method. See Goldberg and Tarjan, "A New Approach to the Maximum Flow Problem," J. ACM Vol. 35, 921--940, 1988 and Cherkassky and Gol
weibull
- digital image proc . paper
CANNY1
- codes for image proc
MfB
- 论文Motion from Blur, Shengyang Dai and Ying Wu, In Proc. IEEE Conf. on Computer Vision and Pattern 的源代码，采用光流重建方法还原模糊图像-Paper Motion from Blur, Shengyang Dai and Ying Wu, In Proc. IEEE Conf. On Computer Vision and Pattern of the source code, the use of
c11_teqtutor
- . R. Johnson, Jr., R. K. Martin, J. M. Walsh, A. G. Klein, C. E. Orlicki, and T. Lin, "Blind Channel Shorteners," Proc. The 13th IFAC Symposium on System Identification, Rotterdam, The Netherlands, August 2003.
c10_spawc03
- R. K. Martin, C. R. Johnson, Jr., M. Ding, and B. L. Evans, "Infinite Length Results for Channel Shortening Equalizers," Proc. The IV IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Rome, Italy, June
edgedemo
- edge detection.Real-time Canny/Sobel edge detection. Requires: Matlab Image Proc. Toolkit liveimagejpg.m . Tested: Matlab version 7.0 (linux)
kmeans
- function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers
icaam
- icaam, G. Papandreou and P. Maragos, Adaptive and Constrained Algorithms for Inverse Compositional Active Appearance Model Fitting, Proc. IEEE Int l Conf. on Computer Vision and Pattern Recognition (CVPR-2008), Anchorage, AL, June 2008.
KODE-MATLAB
- MATLAB code for image proc
3
- The following Matlab project contains the source code and Matlab examples used for 0 1 test for chaos. In 2004 Georg Gottwald and Ian Melbourne introduced a new test for chaos (Proc.
20170707ly_CEEMDAN_kyong
- 一个完整的EEMD自适应噪声 IEEE Int. Conf. on Acoust., Speech and Signal Proc. ICASSP-11, pp. 4144-4147, Prague (CZ)文章对应的matlab原始程序，验证可用 Example of the CEEMDAN performance, used in the work where CEEMDAN was first presented(Example of the CEEMDAN performance, us
MIPS-master
- A MIPS proc emulator I think.