1990
DOI: 10.1007/978-1-4757-4290-9
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Cited by 74 publications
(26 citation statements)
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“…A regression curve, based on correlation theory and applied to each series of results, certifies this allegation. The fitting criterion is the correlation coefficient R [17], with an absolute magnitude converging to unity. The exponential variation is absolutely prospective according to the studies presented in [13,18,19] and provides an additional verification of the enforced FDTD algorithm.…”
Section: Homogeneous Phantommentioning
confidence: 99%
See 1 more Smart Citation
“…A regression curve, based on correlation theory and applied to each series of results, certifies this allegation. The fitting criterion is the correlation coefficient R [17], with an absolute magnitude converging to unity. The exponential variation is absolutely prospective according to the studies presented in [13,18,19] and provides an additional verification of the enforced FDTD algorithm.…”
Section: Homogeneous Phantommentioning
confidence: 99%
“…This expression provides rather accurate results of the peak SAR values induced in the human head in terms of the current on the antenna. A correlation between the peak and average SAR values and the SWR on the helix, based on the regression theory [17], demonstrates that the absorption mechanism at the user's head can be predicted by means of data from the handset antenna. This latter suggestion was indeed verified for dipole antennas by the findings presented in [18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…Each SAR value was normalized to the antenna radiated power at every examined position. In the same Figures, an approximation formula that best fits the variation of the SAR with distance d was also evaluated with the least-squares method used in regression theory [33]. The correlation coefficient r, used to determine the correlation between the regression curve and the sample points is expressed in Equation (5) [33].…”
Section: Simulation Resultsmentioning
confidence: 99%
“…The input impedance is simultaneously calculated at different positions of the antenna with respect to the phantom. With the use of regression and correlation theory [33], a least-squares fit is applied to the simulation results providing an accurate prediction of the level of the SAR (peak or average) based on the distance between dipole and sphere or the standing wave ratio (SWR) on the antenna feedpoint. The simulation occurred for two different frequencies at 905 MHz and 1790 MHz which are at the modern mobile terminals' frequency region.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the Central Limit Theorem, random variables like V usually have normal distribution (e.g., McPherson, 1990). The expected (mean) value of V was set to zero (equation 8).…”
Section: Construction Of the Cave Modelmentioning
confidence: 99%