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TABLE I IMPORTANT COST259 PARAMETERS FOR URBAN MACROCELLULAR ENVIRONMENTS

in Orthogonality Factor in WCDMA Downlinks in Urban Macrocellular Environments
by Neelesh Mehta, Andreas Molisch, Larry Greenstein, Urban Macrocellular Environments, Neelesh B. Mehta, Andreas F. Molisch, Larry J. Greenstein, Life Fellow 2003
Cited by 1

TABLE I IMPORTANT COST259 PARAMETERS FOR URBAN MACROCELLULAR ENVIRONMENTS

in Characterizing the orthogonality factor in WCDMA downlinks
by Neelesh Mehta, Andreas Molisch, Larry Greenstein, Urban Macrocellular Environments, Neelesh B. Mehta, Andreas F. Molisch, Larry J. Greenstein, Life Fellow 2003
Cited by 1

Table 7.3-7: Multipath diversity gains for Urban environment

in 7.1 Simulation Approach
by R. Saunders, Martin Döttling, Claude Oestges

Table 2. RBF-NN models for NLOS case, urban environment

in Applications Of Generalized Rbf-Nn For Path Loss Prediction
by Ileana Popescu, Athanasios Kanatas, Evangelos Angelou, Ioan Nafornita, Philip Constantinou
"... In PAGE 2: ... A set of 420 examples was used for training purpose while the rest of 1680 was used for test purpose. Table2 presents the results obtained by the three different NN models, for the test set. R represents the correlation between predicted ... ..."

Table 3: Empirical accuracies in urban environment (units are in meters).

in On The Accuray And Performance Of The Geombil System
by Alams Baron Bosch

Table 3.2 The links of data structure for urban environment.

in A Tool for Power-Density Prediction of Radio Propagation in Urban Environments
by Technische Universität Wien, Dipl. -ing Liang Ming, Dipl. -ing Liang Ming, O. Univ. Prof Dipl. -ing, Dr. Techn Gottfried Magerl

Table 1. Features of urban environments rel- evant for mobile robot safety. Features Examples

in Building Local Safety Maps for a Wheelchair Robot using Vision and Lasers
by Aniket Murarka Joseph, Joseph Modayil, Benjamin Kuipers 2006
"... In PAGE 2: ...1. Characterization of the Environment Table1 classifies the major features of the urban envi- ronment (relevant for safety) in which we want the robot to function. Based on this set of features the robot can clas- sify parts of the world as being: 1.... ..."
Cited by 4

Table 1 - Tukey apos;s post-hoc analysis for the urban environment

in 3D location-pointing as a navigation aid in virtual environments
by Luca Chittaro, Stefano Burigat 2004
"... In PAGE 6: ... We thus employed the Tukey test for post-hoc comparison among means. The values of means for the urban environment are graphically illustrated in Figure 11, while results of the post-hoc analysis are given in Table1 . It turns out that user performance in the control condition is significantly worse than performance in the other conditions, while there is no statistically significant difference among performances with the three navigation aids.... ..."
Cited by 9

Table 3 - Dunn apos;s post-hoc analysis for the urban environment

in 3D location-pointing as a navigation aid in virtual environments
by Luca Chittaro, Stefano Burigat 2004
"... In PAGE 7: ... We thus employed the Dunn test for post-hoc analysis among total ranks (the total rank of a condition is the sum, among all users, of the weights assigned to that condition). The means of users apos; preference for the urban environment are graphically illustrated in Figure 13, while results of the post-hoc analysis are given in Table3 . There was no statistically significant difference among the three navigation aids in terms of users apos; preference while each of them was significantly preferred to the control condition.... ..."
Cited by 9

Table 6. Hybrid RBF-NN models for NLOS case, urban environment

in Applications Of Generalized Rbf-Nn For Path Loss Prediction
by Ileana Popescu, Athanasios Kanatas, Evangelos Angelou, Ioan Nafornita, Philip Constantinou
Results 1 - 10 of 7,335