R
Ramakrishna Ramaswamy
Researcher at Jawaharlal Nehru University
Publications - 185
Citations - 4400
Ramakrishna Ramaswamy is an academic researcher from Jawaharlal Nehru University. The author has contributed to research in topics: Lyapunov exponent & Attractor. The author has an hindex of 33, co-authored 177 publications receiving 4138 citations. Previous affiliations of Ramakrishna Ramaswamy include University of Tokyo & University of North Carolina at Chapel Hill.
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Prediction of probable genes by Fourier analysis of genomic sequences
Shrish Tiwari,Srinivasan Ramachandran,Alok Bhattacharya,Sudha Bhattacharya,Ramakrishna Ramaswamy +4 more
TL;DR: The aim is to use Fourier techniques to analyse this periodicity, and thereby to develop a tool to recognize coding regions in genomic DNA, and find that the relative-height of the peak at f = 1/3 in the Fourier spectrum is a good discriminator of coding potential.
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Quantum number and energy scaling for nonreactive collisions
Andrew E. DePristo,Andrew E. DePristo,Stuart D. Augustin,Ramakrishna Ramaswamy,Ramakrishna Ramaswamy,Herschel Rabitz +5 more
TL;DR: In this paper, an energy corrected sudden (ECS) approximation is derived by explicitly incorporating both the internal energy level spacing and the finite collision duration into the sudden S-matrix.
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Exactly solved model of self-organized critical phenomena.
TL;DR: This work defines a variant of the model of Bak, Tang, and Wiesenfeld of self-organized critial behavior by introducing a preferred direction and characterize the critical state and determines the critical exponents exactly in arbitrary dimension d.
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Spectral Repeat Finder (SRF): identification of repetitive sequences using Fourier transformation
TL;DR: The Spectral Repeat Finder program circumvents problems by using a discrete Fourier transformation to identify significant periodicities present in a sequence and shows efficient and complete detection of repeats.
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Strange Nonchaotic Attractors
TL;DR: The variation of the Lyapunov exponent, and the qualitative and quantitative aspects of its local fluctuation properties, have emerged as an important means of studying fractal attractors, and this analysis finds useful application here.