This document provides an update of the WINNER system requirements described in WINNER phase I, considering the latest developments in research, regulation, standardisation, wireless market, and industry. The focus is only on system requirements with impact on the development of a new radio interface concept and design, which is the primary goal of WINNER. Keyword list: WINNER, requirements, se...

TIM D AW 1 , 2 ∗, KATRI N A B ROWN 1 , SE R G I O RO S E N D O 1 , 3 AND ROBERT POMEROY 4 1School of International Development, University of East Anglia, Norwich NR4 7TJ, UK, 2Stockholm Resilience Centre, Stockholm University, SE-106 91 Stockholm, Sweden, 3e-GEO, Faculdade de Ciências Sociais e Humanas, FCSH, Universidade Nova de Lisboa, Avenida de Berna, 26-C, 1069-061 Lisbon, Portugal, and 4...

This manuscript presents, palmprint recognition by combining different texture extraction approaches with high accuracy. The Region of Interest (ROI) is decomposed into different frequencytime sub-bands by wavelet transform up-to two levels and only the approximate image of two levels is selected, which is known as Approximate Image ROI (AIROI). This AIROI has information of principal lines of ...

The magnification behaviour of a generalized family of self-organizing feature maps, the Winner Relaxing and Winner Enhancing Kohonen algorithms is analyzed by the magnification law in the one-dimensional case, which can be obtained analytically. The Winner-Enhancing case allows to acheive a magnification exponent of one and therefore provides optimal mapping in the sense of information theory....