The 2010 Pacific-Rim Conference on Multimedia (PCM 2010) was held in Shanghai at Fudan University, during September 21–24, 2010. Since its inauguration in 2000, PCM has been held in various places around the Pacific ...
详细信息
ISBN:
(数字)9783642156960
ISBN:
(纸本)9783642156953
The 2010 Pacific-Rim Conference on Multimedia (PCM 2010) was held in Shanghai at Fudan University, during September 21–24, 2010. Since its inauguration in 2000, PCM has been held in various places around the Pacific Rim, namely Sydney (PCM 2000), Beijing (PCM 2001), Hsinchu (PCM 2002), Singapore (PCM 2003), Tokyo (PCM 2004), Jeju (PCM 2005), Zhejiang (PCM 2006), Hong Kong (PCM 2007), Tainan (PCM 2008), and Bangkok (PCM 2009). PCM is a major annual international conference organized as a forum for the dissemination of state-of-the-art technological advances and research results in the fields of theoretical, experimental, and applied multimedia analysis and processing. PCM 2010 featured a comprehensive technical program which included 75 oral and 56 poster presentations selected from 261 submissions from Australia, Canada, China, France, Germany, Hong Kong, India, Iran, Italy, Japan, Korea, Myanmar, Norway, Singapore, Taiwan, Thailand, the UK, and the USA. Three distinguished researchers, Prof. Zhi-Hua Zhou from Nanjing University, Dr. Yong Rui from Microsoft, and Dr. Tie-Yan Liu from Microsoft Research Asia delivered three keynote talks to the conference. We are very grateful to the many people who helped to make this conference a s- cess. We would like to especially thank Hong Lu for local organization, Qi Zhang for handling the publication of the proceedings, and Cheng Jin for looking after the c- ference website and publicity. We thank Fei Wu for organizing the special session on large-scale multimedia search in the social network settings.
This paper examines three distinct methods for the recursive estimation of the state variables of a continuous time non-linear plant on the basis of measuring the time discrete outputs of the plant in the presence of ...
This paper examines three distinct methods for the recursive estimation of the state variables of a continuous time non-linear plant on the basis of measuring the time discrete outputs of the plant in the presence of noise. The three suboptimal estimation algorithms are the Extended Kalman filter, a second-order non-linear filter, and a single stage iteration filter. The three filters are derived from the same theoretical basis in order to facilitate their comparison. Simulation results are used to compare the performance of the filters in the cases of linear plant dynamics and a non-linear output, non-linear plant dynamics and a linear output, and non-linear plant dynamics and non-linear output. We are able to conclude that the single stage iteration filter has superior mean squared error performance under all conditions, followed by the second-order filter. The second-order filter appears to be more of an unbiased estimator than the other filters. The results also show that both the single stage iteration filter and second order filter have more capability in treating non-linearities in the plant dynamics than in treating output non-linearities. Cet article examine trois méthodes distinctes d'évaluation repétitive des variables d'état d'une installation non-linéaire, en temps continu, sur la base de la mesure, en temps discret, des sorties de l'installation en présence du bruit. Les trois algorithmes suboptimaux d'évaluation sont constitués par le filtre étendu de Kalman, un filtre non-linéaire du second ordre et un filtre répétitif à un seuel étage. Les trois filtres sont déduits de la même base theorique, de manière à faciliter leur comparaison. Des résultats de simulation sont utilisées pour comparer les performances des filtres dans les cas d'une dynamique linéaire de l'installation avec une sortie non-linéaire, d'une dynamique non-linéaire de l'installation avec une sortie linéaire et d'une dynamique non-linéaire d'installation avec une sortie non-linéaire. N
作者：
ORMSBY, JOSEPH F. A.THE AUTHOR Graduated from Rensselaer Polytechnic Institute in 1950. From then until the Spring of 1955
he worked at R.P.I. in the various capacities of instructor in the Department of Electrical Engineering assistant project engineer on a Signal Corps project and research associate in the Computer (analogue) Laboratory Department. During this period he also received his M.E.E. and M.S. (math) degrees from R.P.I. He entered the United States Naval Officers Candidate School in May 1955 and received his commission as an Ensign in the Naval Reserve in September 1955. Upon assignment to Boston Naval Shipyard he worked as a ship superintendent. Later he was assigned to the Production Analysis Officer as an assistant on electronic data processing. His interest in this area is reflected in the present article.
暂无评论