Year: 2020
Type: conference-paper
Abstract: The quantization of the outputs of a binary-input discrete memoryless channel is considered.A new recursive method for finding all optimal quantizers for all output cardinalities is proposed.Two different versions of the newly proposed method for top-down and bottom-up approaches are developed which provide an improved understanding of the quantization problem under consideration.Also, an efficient algorithm based on dynamic programing is proposed and shown to have a comparable complexity with the state of the art.
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3009962851
