Comparison-limited Vector Quantization

Joseph Chataignon, Stefano Rini

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

A variation of the classic vector quantization problem is considered, in which the analog-to-digital (A2D) conversion is not constrained by the cardinality of the output but rather by the number of comparators available for quantization. More specifically, we consider the scenario in which a vector quantizer of dimension d is comprised of k comparators, each receiving a linear combination of the inputs and producing zero/one when this signal is above/below a threshold. Given a distribution of the inputs and a distortion criterion, the values of the linear combination and threshold are to be configured so as to minimize the distortion between the quantizer input and its reconstruction. This vector quantizer architecture naturally arises in many A2D conversion scenarios in which the quantizer's cost and energy consumption are severely restricted. For this novel vector quantizer architecture, we propose an algorithm to determine the optimal configuration and provide the first performance evaluation for the case of uniform and Gaussian iid sources.

原文English
主出版物標題Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
編輯Michael B. Matthews
發行者IEEE Computer Society
頁面1035-1039
頁數5
ISBN(電子)9781728143002
DOIs
出版狀態Published - 十一月 2019
事件53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 - Pacific Grove, United States
持續時間: 3 十一月 20196 十一月 2019

出版系列

名字Conference Record - Asilomar Conference on Signals, Systems and Computers
2019-November
ISSN(列印)1058-6393

Conference

Conference53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
國家/地區United States
城市Pacific Grove
期間3/11/196/11/19

指紋

深入研究「Comparison-limited Vector Quantization」主題。共同形成了獨特的指紋。

引用此