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Contents

1 Handbook of Time Series Analysis: Introduction and Overview

2 Nonlinear Analysis of Time Series Data

3 Local and Cluster Weighted Modeling for Time Series Prediction

4 Deterministic and Probabilistic Forecasting in Reconstructed State Spaces

5 Dealing with Randomness in Biosignals

6 Robust Detail-Preserving Signal Extraction

7 Coupled Oscillators Approach in Analysis of Bivariate Data

8 Nonlinear Dynamical Models from Chaotic Time Series:Methods and Applications

9 Data-Driven Analysis of Nonstationary Brain Signals

10 Synchronization Analysis and Recurrence in Complex Systems

11 Detecting Coupling in the Presence of Noise and Nonlinearity

12 Linear Models for Mutivariate Time Series

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共508页  PDF高清  非扫描。

[此贴子已经被作者于2008-12-16 11:01:39编辑过]