Complexity Pursuit: Separating Interesting Components from Time Series
- 1 April 2001
- journal article
- Published by MIT Press in Neural Computation
- Vol. 13 (4) , 883-898
- https://doi.org/10.1162/089976601300014394
Abstract
A generalization of projection pursuit for time series, that is, signals with time structure, is introduced. The goal is to find projections of time series that have interesting structure, defined ...Keywords
This publication has 26 references indexed in Scilit:
- An Alternative Perspective on Adaptive Independent Component Analysis AlgorithmsNeural Computation, 1998
- A blind source separation technique using second-order statisticsIEEE Transactions on Signal Processing, 1997
- Equivariant adaptive source separationIEEE Transactions on Signal Processing, 1996
- Robust neural networks with on-line learning for blind identification and blind separation of sourcesIEEE Transactions on Circuits and Systems I: Regular Papers, 1996
- An Information-Maximization Approach to Blind Separation and Blind DeconvolutionNeural Computation, 1995
- Adaptive blind separation of independent sources: A deflation approachSignal Processing, 1995
- Independent component analysis, A new concept?Signal Processing, 1994
- ENTROPY MINIMIZATION: A DESIGN PRINCIPLE FOR SENSORY PERCEPTION?International Journal of Neural Systems, 1992
- Exploratory Projection PursuitJournal of the American Statistical Association, 1987
- A Projection Pursuit Algorithm for Exploratory Data AnalysisIEEE Transactions on Computers, 1974