Affiliation:
1. Department of Mathematics and Statistics Florida International University 11200 SW 8th St, Miami, FL 33199 UNITED STATES OF AMERICA
Abstract
This paper considers fifteen existing and proposed test statistics for testing the population SNR. A theoretical comparison among the test statistics is not possible, a Monte Carlo simulation study has been conducted. The performance of the test statistics is based on the empirical size and power of the tests considering a significance level 0.05. The simulation study resulted in some existing and proposed methods performing well in some conditions. For testing SNR=1, 2 and 5, Method 10 performed the best in all simulation conditions. However, for testing SNR=0.5 the proposed Method 12 and for testing SNR=10, the proposed Method 15 performed the best. Two real life data sets are analyzed to illustrate the performance of the test statistics.
Publisher
World Scientific and Engineering Academy and Society (WSEAS)
Subject
Computer Networks and Communications,Computer Vision and Pattern Recognition,Signal Processing,Software