The embedding theorem forms a bridge between the theory of nonlinear dynamical systems and the analysis of experimental time series. This memorandum describes the theorem and gives a detailed account of its proof. The necessary differential topology is briefly reviewed, and then a proof of the theorem is presented; this proof follows broadly the argument of Takens, although it differs in some details. Some extensions to the theorem, which facilitate its use in applications, are described. The memo concludes with a brief discussion of what the theorem implies about time series, viewed as the raw material for signal processing algorithms
Abstract: In this paper we study Hilbert space embeddings of dynamical systems and embeddings genera...
The considerable usefulness of differential equations in modeling physical system dynamics is limite...
Abstract: In this paper we study Hilbert space embeddings of dynamical systems and embeddings genera...
The celebrated Takens' embedding theorem concerns embedding an attractor of a dynamical system in a ...
Takens’ Embedding Theorem forms the basis of virtually all approaches to the analysis of time series...
Takens ’ Embedding Theorem forms the basis of virtually all approaches to the analysis of time serie...
The embedding theorem of Takens, and its extensions, have provided the theoretical underpinning for ...
We present a new embedding theorem for time series, in the spirit of Takens's theorem, but requiring...
This paper shows that the celebrated embedding theorem of Takens is a particular case of a much more...
The 1970's and 80's saw a tremendous wave of interest---across the sciences and beyond---in the subj...
Nonlinear dynamical system analysis based on embedding theory has been used for modeling and predict...
In this paper, we present a study of different iterated maps in which we are looking for invariants ...
This thesis investigates time series analysis tools for prediction, as well as detection and charact...
In this thesis we introduce an approach to the study of time series study by nonlinear dynamical sys...
A time delay reconstruction theorem inspired by that of Takens (1981 Springer Lecture Notes in Mathe...
Abstract: In this paper we study Hilbert space embeddings of dynamical systems and embeddings genera...
The considerable usefulness of differential equations in modeling physical system dynamics is limite...
Abstract: In this paper we study Hilbert space embeddings of dynamical systems and embeddings genera...
The celebrated Takens' embedding theorem concerns embedding an attractor of a dynamical system in a ...
Takens’ Embedding Theorem forms the basis of virtually all approaches to the analysis of time series...
Takens ’ Embedding Theorem forms the basis of virtually all approaches to the analysis of time serie...
The embedding theorem of Takens, and its extensions, have provided the theoretical underpinning for ...
We present a new embedding theorem for time series, in the spirit of Takens's theorem, but requiring...
This paper shows that the celebrated embedding theorem of Takens is a particular case of a much more...
The 1970's and 80's saw a tremendous wave of interest---across the sciences and beyond---in the subj...
Nonlinear dynamical system analysis based on embedding theory has been used for modeling and predict...
In this paper, we present a study of different iterated maps in which we are looking for invariants ...
This thesis investigates time series analysis tools for prediction, as well as detection and charact...
In this thesis we introduce an approach to the study of time series study by nonlinear dynamical sys...
A time delay reconstruction theorem inspired by that of Takens (1981 Springer Lecture Notes in Mathe...
Abstract: In this paper we study Hilbert space embeddings of dynamical systems and embeddings genera...
The considerable usefulness of differential equations in modeling physical system dynamics is limite...
Abstract: In this paper we study Hilbert space embeddings of dynamical systems and embeddings genera...