Title :
Walsh Functions in Image Processing, Feature Selection and Pattern Recognition
Author :
Andrews, Harry C.
Author_Institution :
University of Southern California Los Angeles, California
Abstract :
Walsh functions have become quite useful in the applications of image processing and feature selection. Due to their inherent efficiency of implementation, (they are a subset of the Reed Muller Codes and Hadamard matrices), they have become popular for coding, enhancement and other signal processing tasks. This paper will briefly describe applications in some of these areas with emphasis on a correlation analysis for justification purposes.
Keywords :
Covariance matrix; Error correction; Error correction codes; Filtering; Fourier transforms; Image coding; Image processing; Karhunen-Loeve transforms; Pattern recognition; Statistics;
Journal_Title :
Electromagnetic Compatibility, IEEE Transactions on
DOI :
10.1109/TEMC.1971.303103