我用matlab写的一个corner detector, 效果比现在流行的harris，susan，CSS等效果要好。 Algorithm is derived from: X.C. He and N.H.C. Yung, Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support , Proceedings of the 17th International Conference on Pattern Recognition, 2:791-794, August 2004. Improved algorithm has been included in A Corner Detector based on Global and Local Curvature Properties and submitted to Optical engineering.
标签： detector matlab corner harris
上传时间： 2013-12-30
上传用户：569342831
【下载说明】 这里提供给大家的是《Embedded Linux: Hardware, Software, and Interfacing》（嵌入式 Linux---硬件、软件与接口）一书的英文原版CHM格式下载。 【作者简介】 Craig Hollabaugh has been fascinated by electronics since he bought an AM radio in elementary school. He was first exposed to Unix during a cross-country talk session in 1985. Later, he administered networked Sun and DEC workstations while pursuing a doctoral degree in electrical engineering at Georgia Institute of Technology. 【内容提要】 本书通过一个冬季旅游胜地自动化管理项目实例，从软件、硬件和接口的观点介绍嵌入式Linux。引入项目需求后，作者讲述了开发环境的建立，接着用一系列软硬件接口实例展示了如何使用异步串行通信、PC并口、USB、内存I/O、同步串行通信以及中断，等等。最后介绍了将前面所有的工作有机地组织在一起的系统集成过程。本书以实际应用为导向，书中整个项目的实施过程和软硬件接口实例都具实践指导意义。
标签： Linux Interfacing Embedded Hardware
上传时间： 2014-01-22
上传用户：shus521
On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： demonstrates sequential Selection Bayesian
上传时间： 2016-04-07
上传用户：lindor
D-S.Kim, Y.S.Lee, W.H.Kwon, and H.S.Park, "Maximum Allowable Delay Bounds in Networked Control Systems", Control engineering Practice (Elsvier Science) (Simulation Example - Matlab Code), PP.1301-1313, Vol.11, Issue 11, December, 2003
标签： Allowable Networked Control Maximum
上传时间： 2016-04-10
上传用户：lifangyuan12
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： sequential reversible algorithm nstrates
上传时间： 2014-01-18
上传用户：康郎
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： reversible algorithm the nstrates
上传时间： 2014-01-08
上传用户：cuibaigao
The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of engineering, May 2000. After downloading the file, type "tar -xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo.
标签： algorithms problems Several trivial
上传时间： 2014-01-20
上传用户：royzhangsz
This white paper describes a collection of standards, conventions, and guidelines for writing solid Java code. They are based on sound, proven software engineering principles that lead to code that is easy to understand, to maintain, and to enhance.
标签： conventions collection guidelines describes
上传时间： 2014-12-08
上传用户：hakim
摘自university of waterloo的个别知道笔记，主要关于electrical and computer engineering方面，包括了8-bit hamming的编解码以及使用VHDL的硬件开发
标签： university waterloo of
上传时间： 2016-07-07
上传用户：qq521
空间桁架的有限元分析源码，是国外《intrduction to finite elements on engineering》中的。
上传时间： 2013-12-09
上传用户：Zxcvbnm
