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Two modes, namely Frequency Hopping Code Division Multiple Access and Direct Sequence Code Division Multiple Access, are identified, employing a signal processing technique. Time Frequency analysis, and a distributed decision theory. Advantages given by distributed detection are used to improve the performance of a Mode Identification module. Results in terms of error probability are obtained by modelling the probability density function of considered features as Asymmetric Generalized and Generalized Gaussian functions. <\/jats:p>","DOI":"10.1080\/15501320500471564","type":"journal-article","created":{"date-parts":[[2006,6,19]],"date-time":"2006-06-19T19:33:02Z","timestamp":1150745582000},"page":"201-223","source":"Crossref","is-referenced-by-count":4,"title":["A Distributed Wireless Sensor Network for Radio Scene Analysis"],"prefix":"10.1177","volume":"2","author":[{"given":"M.","family":"Gandetto","sequence":"first","affiliation":[{"name":"Department of Biophysical and Electronic Engineering University of Genova, Italy"}]},{"given":"A. 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