“Real” Signal Processing with Wireless Sensor Networks

اسناد مشابه

• Superimposed Radio Signals for Wireless Sensor Networks

  سند علمی۲۰۰۶Albert Krohn, Tom Pfeifer

  Traditional approaches using superimposed signals in wireless sensor networks have high demands on the hardware capabilities of a single network node. This work loosens these constraints and derives a communication system for low-resource wireless sensor networks requiring no com

• PhD Thesis Abstract: Superimposed Radio Signals for Wireless Sensor Networks

  سند علمی۲۰۰۶Albert Krohn

  Traditional approaches using superimposed signals in wireless sensor networks have high demands on the hardware capabilities of a single network node. This work loosens these constraints and derives a communication system for low-resource wireless sensor networks requiring no com

• From Bird Species to Individual Songs Recognition: Automated Methods for Localization and Recognition in Real Habitats Using Wireless Sensor Networks

  سند علمی۲۰۰۸VLAD M. TRIFA, ALEXANDER KIRSCHEL, YUAN YAO, CHARLES TAYLOR

  The recent advances in wireless networked sensing systems, combined with the ever increasing computational power of embedded systems has brought field biologists a large palette of opportunities for automated analysis of ecosystems. Now phenomena can be observed in real time and

• Detecting and Locating Radioactive Signals with Wireless Sensor Networks

  سند علمی۲۰۱۱Tonglin Zhang

  —Methods of detecting and locating nuclear radioactive targets via wireless sensor networks (WSN) are proposed in this paper. In real applications, a nuclear radioactive target can be interpreted either as a hidden nuclear weapon held by nuclear terrorists or as a leak of nuclear

• A New Method of Noise Removal for Body Vibration Signals in Wireless Sensor Networks

  سند علمی۲۰۰۶Qian Tian, Noriyoshi Yamauchi, N YAMAUCHI

  In this paper we present a novel model of noise removal for the human body vibration signals in wireless sensor networks. This model assumes that the noise is not a continuous or periodic signal, but a transient signal. It distributes sparsely in time domain with larger energy th

• Recognition and Localization of Harmful Acoustic Signals in Wireless Sensor Network Based on Artificial Fish Swarm Algorithm

  سند علمی۲۰۱۳ZONGZHANG LI, HAIXIA ZHANG, JIALI XU, QINGYU ZHAI

  The recognition and localization of harmful acoustic signals in a certain scenario are of great importance. In this paper, we propose a scheme for harmful acoustic signals recognition and localization based on fish swarm algorithm for wireless sensor network. We firstly optimize