Conjugate Variables as a Resource in Signal and Image Processing

Autor:	Nölle, Michael, Suda, Martin
Rok vydání:	2011
Předmět:	Computer Science - Computer Vision and Pattern Recognition Physics - Data Analysis Statistics and Probability Quantum Physics
Druh dokumentu:	Working Paper
Popis:	In this paper we develop a new technique to model joint distributions of signals. Our technique is based on quantum mechanical conjugate variables. We show that the transition probability of quantum states leads to a distance function on the signals. This distance function obeys the triangle inequality on all quantum states and becomes a metric on pure quantum states. Treating signals as conjugate variables allows us to create a new approach to segment them. Keywords: Quantum information, transition probability, Euclidean distance, Fubini-study metric, Bhattacharyya coefficients, conjugate variable, signal/sensor fusion, signal and image segmentation. Comment: 22 pages, 2 tables, 6 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1108.5720 Zobrazit plný text záznamu View this record from Arxiv