Abstract: The main focus of this paper is denoising of underwater acoustic signal to improve the performance of underwater acoustic instruments. The major sources of underwater ambient noises are distant shipping, wind, rain and biological activities. In this paper we have considered wind driven noise, which occupies wide bandwidth,as ambient noise source. A lot of research work has been done on denoising and most of the researchers have used wavelet as the denoising tool. In this paper we have proposed a novel denoising algorithm based on EEMD (Ensemble Empirical Mode Decomposition) , which is mainly suitable for non-linear and non-stationary signals. The results presented here will give an insight on the performance of this adaptive algorithm.

• Publication Date: 14-Jul-2012
• DOI: 10.15224/978-981-07-2969-1-160
• Views: 0
• Downloads: 0

Abstract: Wireless networking is an emerging technology that allows users to access information and services electronically, regardless of their geographic position. Applications for the use of wireless networking have become increasingly popular and more sophisticated. One of the most important applications based on the use of wireless networks is for motorway surveillance. In a wireless Motorway Surveillance System (MSS), a series of cameras capable of transmitting images wirelessly are placed along a roadway. In an `infrastructure-less' MSS, one important consideration is the placement of the cameras in a specific topology. Topology imposes several constraints on the amount of data of images that can be transmitted through the network, which leads to effects on the network's overall performance. This paper evaluates and analyzes the effects of topology on the performance of a motorway surveillance system comprised of wireless cameras placed along a roadway. Two different types of configuratio

• Publication Date: 11-Apr-2012
• DOI: 10.15224/978-981-07-3161-8-144
• Views: 0
• Downloads: 0