Könyv Topics In Nonlinear Time Series Analysis, With Implications For Eeg Analysis Andreas Galka

Topics In Nonlinear Time Series Analysis, With Implications For Eeg Analysis

Szerző: Andreas Galka
Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: 50 % esély
Keressük az egész világon
61 079 Ft
This book provides a thorough review of a class of powerful algorithms for the numerical analysis of...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2000
oldal
360
EAN
9789810241483
ISBN
9810241488
Enbook ID
05066475
Súly
640
Méretek
154 x 223 x 29

Teljes leírás

This book provides a thorough review of a class of powerful algorithms for the numerical analysis of complex time series data which were obtained from dynamical systems. These algorithms are based on the concept of state space representations of the underlying dynamics, as introduced by nonlinear dynamics. In particular, current algorithms for state space reconstruction, correlation dimension estimation, testing for determinism and surrogate data testing are presented -- algorithms which have been playing a central role in the investigation of deterministic chaos and related phenomena since 1980. Special emphasis is given to the much-disputed issue whether these algorithms can be successfully employed for the analysis of the human electroencephalogram.

Érdekelheti

86 897 Ft
5 995 Ft
5 909 Ft
5 522 Ft
7 448 Ft
4 023 Ft
10 189 Ft
7 822 Ft

Coming Soon

Nicole Kim
5 153 Ft
23 591 Ft

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták