An application of the stationary phase method for estimating probability densities of function derivatives
Machine Learning
2013-02-05 v4 Statistics Theory
Statistics Theory
Abstract
We prove a novel result wherein the density function of the gradients---corresponding to density function of the derivatives in one dimension---of a thrice differentiable function S (obtained via a random variable transformation of a uniformly distributed random variable) defined on a closed, bounded interval \Omega \subset R is accurately approximated by the normalized power spectrum of \phi=exp(iS/\tau) as the free parameter \tau-->0. The result is shown using the well known stationary phase approximation and standard integration techniques and requires proper ordering of limits. Experimental results provide anecdotal visual evidence corroborating the result.
Keywords
Cite
@article{arxiv.1108.1783,
title = {An application of the stationary phase method for estimating probability densities of function derivatives},
author = {Karthik S. Gurumoorthy and Anand Rangarajan and Arunava Banerjee},
journal= {arXiv preprint arXiv:1108.1783},
year = {2013}
}