activity
19942007
most citedEstimating good discrete partitions from observed data: symbolic false nearest neighbors

113 citations · 243 across the 8 of their papers we have counts for

collaborators

8 papers

nlin.CD2007★ 26 cited

Forbidden ordinal patterns in higher dimensional dynamics

J. M. Amigó, M. B. Kennel

Forbidden ordinal patterns are ordinal patterns (or `rank blocks') that cannot appear in the orbits generated by a map taking values on a linearly ordered space, in which case we s…

math.DS2007

Forbidden patterns and shift systems

José M. Amigó, Sergi Elizalde, Matthew B. Kennel

The scope of this paper is two-fold. First, to present to the researchers in combinatorics an interesting implementation of permutations avoiding generalized patterns in the framew…

physics.data-an2004★ 67 cited

KDTREE 2: Fortran 95 and C++ software to efficiently search for near neighbors in a multi-dimensional Euclidean space

Matthew B. Kennel

Many data-based statistical algorithms require that one find \textit{near or nearest neighbors} to a given vector among a set of points in that vector space, usually with Euclidean…

physics.optics2004★ 33 cited

Shaping Current Waveforms for direct Modulation of Semiconductor Lasers

L. Illing, M. B. Kennel

We demonstrate a technique for shaping current inputs for the direct modulation of a semiconductor laser for digital communication. The introduction of shaped current inputs allows…

nlin.CD2003★ 113 cited

Estimating good discrete partitions from observed data: symbolic false nearest neighbors

Matthew B. Kennel, Michael Buhl

A symbolic analysis of observed time series data requires making a discrete partition of a continuous state space containing observations of the dynamics. A particular kind of part…

chao-dyn1998★ 1 cited

Testing for General Dynamical Stationarity with a Symbolic Data Compression Technique

Matthew B. Kennel, Alistair I. Mees

We construct a statistic and null test for examining the stationarity of time-series of discrete symbols: whether two data streams appear to originate from the same underlying unkn…