Title :
An analytic upper bound on T-complexity
Author :
Speidel, Ulrich ; Gulliver, T. Aaron
Author_Institution :
Dept. of Comput. Sci., Univ. of Auckland, Auckland, New Zealand
Abstract :
The Titchener T-complexity CT of a string has applications in, e.g., randomness testing, event detection and similarity comparison. Like the Lempel-Ziv production complexity, the upper bound of CT is demonstrably not a linear function of the string length. Knowledge of the bound for a given length is however required in order to convert CT into a measure with linear upper bound such as Titchener´s T-information. For this reason, the upper bound of CT has been investigated before by several authors, with various asymptotic solutions proposed. We present a new analytic closed-form asymptotic upper bound for CT based on the Hurwitz-Lerch zeta function.
Keywords :
computational complexity; data compression; signal detection; Hurwitz-Lerch zeta function; Lempel-Ziv production complexity; Titchener T-complexity CT; analytic upper bound; event detection; randomness testing; similarity comparison; Complexity theory; Decoding; Educational institutions; Integral equations; Signal processing algorithms; Systematics; Upper bound;
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2012.6284014