activity
20022005
most citedScaling in Small-World Resistor Networks

41 citations · 43 across the 9 of their papers we have counts for

collaborators

9 papers

cond-mat.stat-mech200541 cited

Scaling in Small-World Resistor Networks

G. Korniss, M. B. Hastings, K. E. Bassler +3

We study the effective resistance of small-world resistor networks. Utilizing recent analytic results for the propagator of the Edwards-Wilkinson process on small-world networks, w…

cond-mat.soft2005

Frequency-shift keying signal detection via short time stochastic resonance

Fabing Duan, Derek Abbott

A series of short time stochastic resonance (SR) phenomena, realized in a bistable receiver, can be utilized to convey train of information represented by frequency-shift keying (F…

cond-mat.soft2004

Evaluation of bistable systems versus matched filters in detecting bipolar pulse signals

Fabing Duan, Derek Abbott, Qisheng Gao

This paper presents a thorough evaluation of a bistable system versus a matched filter in detecting bipolar pulse signals. The detectability of the bistable system can be optimized…

q-bio.PE20041 cited

Mutual information for examining correlations in DNA

Matthew J. Berryman, Andrew Allison, Derek Abbott

This paper examines two methods for finding whether long-range correlations exist in DNA: a fractal measure and a mutual information technique. We evaluate the performance and impl…

q-bio.PE2004

Stochastic evolution and multifractal classification of prokaryotes

Matthew J. Berryman, Andrew Allison, Derek Abbott

We introduce a model for simulating mutation of prokaryote DNA sequences. Using that model we can then evaluated traditional techniques like parsimony and maximum likelihood method…

physics.data-an2004

Signal processing and statistical methods in analysis of text and DNA

Matthew J. Berryman, Andrew Allison, Pedro Carpena +1

A number of signal processing and statistical methods can be used in analyzing either pieces of text or DNA sequences. These techniques can be used in a number of ways, such as det…