搜索资源列表
vidToolbox
- 加州大学伯克利分校的一个车俩识别程序, 用matlab实现-the University of California at Berkeley, one of the two cars the identification procedures used to achieve Matlab
sc_demo.tar
- 加州大学伯克利分校的一个轮廓检测程序, 用matlab实现-the University of California at Berkeley in a contour detection procedure using Matlab achieve
Phase-estimator
- 一篇berkeley大学Master论文 \"An Acoustic Digital Anemometer\"附带程序,Phase estimator Matlab scr ipt -a berkeley University Master's thesis on "An Acoustic Digit al Anemometer "incidental proceedings, Phase estimator Matlab scr ipt
klt
- this is code for finding and tracking feature points
lathisignalssystema
- Signal Processing and Linear Systems,B.P. Lathi,Berkeley-Cambridge Press book matlab codes
Triangle_for_EM_EXPLORATION
- 用c语言和matlab编写的、自动生成非结构化三角网格剖分的程序，用于地球物理勘探中的大地电磁、海洋可控源二维正演模拟。-Triangle.m is a MATLAB graphical user interface for creating 2D models and generating fi nite element triangulation grids. Grid generation is accomplished by an external call to the C-
berkeley-socket
- 讲解berkley套接字的详细知识，并结合有详细的例子对套接字的应用做了充分阐释-Detailed knowledge to explain berkley sockets, combined with detailed examples of the application of the socket to do a full explanation
Spectral-Clustering
- to segment images by ,form"A factorization approach to grouping", and "Segmentation Using Eigenvectors: A Unifying View", UC Berkeley.-to segment images by Spectral Clustering,form"A factorization approach to grouping", and "Segmentation
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
Sparse-Representation-Library(BerkeleyPGatech).zi
- Collection of Sparse Representation Library(Berkeley+Gatech)
SKMsmo
- Multiple Kernel Learning (MKL) code by F. Bach, G. Lanckriet, and M. Jordan 说明：matlab文件，原地址http://www.stat.berkeley.edu/~gobo/SKMsmo.tar已失效。-Multiple Kernel Learning (MKL) code by F. Bach, G. Lanckriet, and M. Jordan
anwers
- 数字型号处理伯克利版上机习题答案（第六章和第十章）-The digital models on the Berkeley version of problem sets (Chapters VI and Chapter X)
bwt
- BWT decomposition Version 1.2 Arguments: im: A square image side length must be a power of 3 Result: decomp: The decomposition is laid out -BWT decomposition Version 1.2 Arguments: im: A square image side leng
Final_Face_recog
- Face recognition using L1 norm minimization 1.0 :Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illino
15_EKF_UKF
- UC Berkeley 大学学习扩展卡尔曼滤波和无迹卡尔曼滤波的pdf资料(A PDF file of UC Berkeley for learning EKF and UKF)