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This paper presents a study of hard combination data fusion for cooperative spectrum sensing in Cognitive Radio (CR). We evaluated the performance of cooperative spectrum sensing with the hard combination OR, AND and MAJORITY rules. Energy detection technique is used to sense the presence

N The idea of linking togeth-er databases, known as data fusion, is the bête noire of privacy advocates. So far, however, it seems to be limited to specific contexts, such as gam-bling casinos and child-support enforcement. N Data fusion is challenging because databases are riddled with errors

INTRODUCTION Data fusion is a generic word referring to several techniques of digital image processing which are used to integrate data from different spatial and spectral resolution in order to obtain higher-quality synthetic images, which facilitate the process of thematic data extraction

. Although this fact has been acknowledged before, it has not been fully exploited within a visual tracking context. Here we introduce generic importance sampling mechanisms for data fusion and discuss them for fusing color with either stereo sound, for tele-conferencing, or with motion, for surveillance

Indoor tracking Indoor positioning a b s t r a c t In this paper we address the problem of indoor tracking using received signal strength (RSS) as a position-dependent data measurement. Since RSS is highly influenced by multipath propagation, it turns out very hard to adequately model

Abstract: Data fusion is concerned with the problem of merging data bases coming from different sources into a single data base when variables are absent or missing in some files. After a survey of the main techniques we present some new approaches, in particular one based on homogeneity analysis

Estimating vegetation structural effects on carbon uptake using satellite data fusion and inverse modeling

The concept of data fusion is easy to understand. However its exact meaning varies from one scientist to another. A working group, set up by the European Association of Remote Sensing Laboratories (EARSeL) and the French Society for Electricity and Electronics (SEE, French affiliate of the IEEE

This project has accomplished three significant tasks. First, a state-of-the-art literature review has provided an organizational framework for categorizing the various data fusion projects that have been conducted to date. A popular typology was discussed which situates data fusion technologies