An efficient method for computing local cross-correlations of multi-dimensional signals

  • Hale D
  • 40

    Readers

    Mendeley users who have this article in their library.
  • N/A

    Citations

    Citations of this article.

Abstract

Consider two multi-dimensional digital signals, each with N s samples. For some number of lags N l N s , the cost of computing a single cross-correlation of these two signals is proportional to N s × N l . By exploiting several properties of Gaussian windows, we can compute N s local cross-correlations, again with computational cost proportional to N s ×N l . Here, local means the cross-correlation of signals after applying a Gaussian window centered on a single sample. Computational cost is independent of the size of the window.

Author-supplied keywords

  • digital signal processing
  • image processing

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

There are no full text links

Authors

  • Dave Hale

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free