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3D_Questionnaire
DataTimeVaryingSpring.mat
README.md
SetQuestParamsPen.m
mainPendulumK_t.m

README.md

InformedGeometry-CoupledPendulum

The algorithms implemented here are presented in:

  • O. Yair, R. Talmon, R. R. Coifman, I. G. Kevrekidis, “No equations, no parameters, no variables: data, and the reconstruction of normal forms by learning informed observation geometries,” submitted. eprint arXiv:1612.03195

  • J. I. Ankenman, “Geometry and analysis of dual networks on questionnaires,” Ph.D. dissertation, Yale University, 2014.

  • G. Mishne, R. Talmon, R. Meir, J. Schiller, U. Dubin and R. R. Coifman, "Hierarchical Coupled Geometry Analysis for Neuronal Structure and Activity Pattern Discovery," IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 7, pp. 1238-1253, Oct. 2016.

  • G. Mishne, R. Talmon, I. Cohen, R. R. Coifman and Y. Kluger, "Data-Driven Tree Transforms and Metrics," accepted to IEEE Transactions on Signal and Information Processing over Networks.

A python implementation can be found at https://github.com/gmishne/pyquest