Abstract
Binary valued characters, defined over a discrete subset of two-dimensional space, are assumed to be contaminated by spatially independent random errors at each point in space. The errors are described as random transformations. That is, a probability distribution over the possible transformations is assumed at each point. With this definition of the contaminating error process, the optimal Bayes recognition procedure is developed. The optimal recognition rule is linear in the character observations.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
