On Estimating the Large Entries of a Convolution
Author
Mikhail J. Atallah
Tech report number
CERIAS TR 2001-08
Entry type
article
Abstract
We give a Monte Carlo algorithm that computes an unbiased estimate of the convolution of two vectors. The variance of our estimate is small for entries of the convolution that are large; this corresponds to the situation in which convolution is used in pattern matching or template matching, where one is only interested in the largest entries of the resulting convolution vector. Experiments performed with our algorithm confirm the theory and suggest that, in contexts where one cares about only the large entries in the convolution, the algorithm can be a faster alternative to performing an FFT-based convolution.
Date
2001
Institution
CERIAS
Journal
IEEE Trans. on Computers
Key alpha
atallah
Number
3
Pages
193-196
Publisher
IEEE Trans. on Computers
Volume
50
Affiliation
Purdue University
Publication Date
1970-01-01
Subject
none

