1,720,960 research outputs found
Use of Time Frequency Analysis and Neural Networks for Mode Identification in a Software Radio Based Wireless measurement equipment
No full text"Use of Time Frequency Analysis and Neural Networks for Mode Identification in a Software Radio based Wireless for Ambient Intelligence applications"
No full textThe use of time-frequency distributions is proposed as a nonlinear signal processing technique that is combined with a pattern recognition approach to identify superimposed transmission modes in a reconfigurable wireless terminal based on software-defined radio techniques. In particular, a software-defined radio receiver is described aiming at the identification of two coexistent communication modes: frequency hopping code division multiple access and direct sequence code division multiple access, As a case study, two standards, based on the previous modes and operating in the same band (industrial, scientific, and medical), are considered: IEEE WLAN 802.11b (direct sequence) and Bluetooth (frequency hopping). Neural classifiers are used to obtain identification results. A comparison between two different neural classifiers is made in terms of relative error frequency
Mode Identification in Reconfigurable Wireless Communication Systems: Use of Time-Frequency Analysis and Neural Networks
No full textLocation determination using WLAN in conjuction with GPS network (global positioning system)
No full textThis work presents a location determination technique which is based on wireless local area networks (WLANs), in particular the IEEE 802.11b standard, in conjunction with GPS (Global positioning system). Since each of the positioning devices has its shortcomings, this paper proposes to use the data obtained from the GPS system together with the WLAN positioning data to estimate the mobile user's position in a network nearest to its true position. Some of the theoretical work that substantiate the proposed method and initial simulation results are shown as well.This work presents a location determination technique which is based on wireless local area networks (WLANs), in particular the IEEE 802.11b standard, in conjunction with GPS (Global positioning system). Since each of the positioning devices has its shortcomings, this paper proposes to use the data obtained from the GPS system together with the WLAN positioning data to estimate the mobile user's position in a network nearest to its true position. Some of the theoretical work that substantiate the proposed method and initial simulation results are shown as well
A mode identification system for a reconfigurable terminal using time frequency analysis and a non-parametric classifier
No full textThe use of Time Frequency (TF) analysis is proposed as signal processing technique combined with a pattern recognition approach, for identifying the transmission modes in indoor wireless environment with a reconfigurable mobile terminal based on Software Radio techniques. In particular, a Software Radio device is considered aiming at the identification of the presence of two co-existent communication modes as Bluetooth, based on Frequency Hopping - Code Division Multiple Access (FH-CDMA), and IEEE WLAN 802.11b, based on Direct Sequence - Code Division Multiple Access (DS-CDMA). A pattern recognition approach will be presented, where TF analysis is employed for feature extraction, and a multi hypotheses k nearest neighbors (k-NN) non parametric classifier is used. Results in terms of error classification probability, expressed as relative error frequency, will be provided
"A Mode Identification System For a Reconfigurable Terminal Using Wigner Distribution and Non-parametric Classifiers"
No full textIn this work, a mode identification system for superimposed signals in the same band is presented. More precisely, a pattern recognition approach, based on Wigner Distribution for features extraction and non parametric classifiers (k-Nearest Neighbors and Parzen) is proposed for identifying the transmission modes in an indoor wireless environment A reconfigurable terminal based on Software Defined Radio technology is considered aiming at the identification of the presence of two co-existent communication modes such as Bluetooth, based on Frequency Hopping - Code Division Multiple Access, and IEEE WLAN 802.11b, based on Direct Sequence - Code Division Multiple Access. Results in terms of error classification probability, expressed as relative error frequency, will be provided with a comparison between the use of the two classifiers
“Integrazione di sistemi di navigazione satellitare e comunicazioni cellulari tramite tecniche basate su software radio”
No full textMultimodal co-operative modulation estimation and terminal localization for multisource sensor networks
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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