DocumentCode :
2600159
Title :
Detecting regularity in minefields and chaotic signals using the empty boxes test
Author :
Lake, Douglas E.
Author_Institution :
Office of Naval Res., Arlington, VA, USA
fYear :
1996
fDate :
24-26 Jun 1996
Firstpage :
4
Lastpage :
7
Abstract :
A simple, flexible, and robust procedure to detect regularity in point processes versus the alternative of randomness (i.e., a Poisson point process) is the empty boxes test (EBT). The EBT can be extended to a multivariate statistical test in several ways including an implementation of a skeptical likelihood test (SLT). These approaches have previously been used to detect the regularity of minefields, a two-dimensional point process, where the alternative is termed complete spatial randomness (CSR). These methods are applied to the problem of detecting regularity in chaotic signals such as pseudo-random number generators
Keywords :
chaos; random number generation; random processes; signal detection; statistical analysis; stochastic processes; Poisson point process; chaotic signals; complete spatial randomness; empty boxes test; minefields; multivariate statistical test; pseudorandom number generators; randomness; regularity detection; robust procedure; skeptical likelihood test; two-dimensional point process; Chaos; Chaotic communication; Humans; Lakes; Robustness; Safety; Signal generators; Signal processing; Spread spectrum communication; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
Conference_Location :
Corfu
Print_ISBN :
0-8186-7576-4
Type :
conf
DOI :
10.1109/SSAP.1996.534806
Filename :
534806
Link To Document :
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