A Hardware-Efficient Vector Quantizer Based on Self-Organizing Map for High-Speed Image Compression. <em>Appl. Sci.</em> 2017, 7, 1106

A Hardware-Efficient Vector Quantizer Based on Self-Organizing Map for High-Speed Image Compression. <em>Appl. Sci.</em> 2017, 7, 1106

We, the authors, wish to make the following corrections to our published paper [...]

Bibliographic Details
Main Authors: Zunkai Huang, Dai Suzuki, Xiangyu Zhang, Lei Chen, Yongxin Zhu, Fengwei An, Hui Wang, Songlin Feng, Hans Jürgen Mattausch
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Applied Sciences
Subjects:
n/a
Online Access:https://www.mdpi.com/2076-3417/9/7/1377
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spelling doaj-245bb37550424ef3a9ebdd51da3290422020-11-25T00:27:55ZengMDPI AGApplied Sciences2076-34172019-04-0197137710.3390/app9071377app9071377A Hardware-Efficient Vector Quantizer Based on Self-Organizing Map for High-Speed Image Compression. <em>Appl. Sci.</em> 2017, 7, 1106Zunkai Huang0Dai Suzuki1Xiangyu Zhang2Lei Chen3Yongxin Zhu4Fengwei An5Hui Wang6Songlin Feng7Hans Jürgen Mattausch8Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, ChinaHiSIM Research Center, Hiroshima University, Hiroshima 739-8530, JapanHiSIM Research Center, Hiroshima University, Hiroshima 739-8530, JapanHiSIM Research Center, Hiroshima University, Hiroshima 739-8530, JapanShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, ChinaHiSIM Research Center, Hiroshima University, Hiroshima 739-8530, JapanShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, ChinaShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, ChinaHiSIM Research Center, Hiroshima University, Hiroshima 739-8530, JapanWe, the authors, wish to make the following corrections to our published paper [...]https://www.mdpi.com/2076-3417/9/7/1377n/a
collection DOAJ
language English
format Article
sources DOAJ
author Zunkai Huang
Dai Suzuki
Xiangyu Zhang
Lei Chen
Yongxin Zhu
Fengwei An
Hui Wang
Songlin Feng
Hans Jürgen Mattausch
spellingShingle Zunkai Huang
Dai Suzuki
Xiangyu Zhang
Lei Chen
Yongxin Zhu
Fengwei An
Hui Wang
Songlin Feng
Hans Jürgen Mattausch
A Hardware-Efficient Vector Quantizer Based on Self-Organizing Map for High-Speed Image Compression. <em>Appl. Sci.</em> 2017, 7, 1106
Applied Sciences
n/a
author_facet Zunkai Huang
Dai Suzuki
Xiangyu Zhang
Lei Chen
Yongxin Zhu
Fengwei An
Hui Wang
Songlin Feng
Hans Jürgen Mattausch
author_sort Zunkai Huang
title A Hardware-Efficient Vector Quantizer Based on Self-Organizing Map for High-Speed Image Compression. <em>Appl. Sci.</em> 2017, 7, 1106
title_short A Hardware-Efficient Vector Quantizer Based on Self-Organizing Map for High-Speed Image Compression. <em>Appl. Sci.</em> 2017, 7, 1106
title_full A Hardware-Efficient Vector Quantizer Based on Self-Organizing Map for High-Speed Image Compression. <em>Appl. Sci.</em> 2017, 7, 1106
title_fullStr A Hardware-Efficient Vector Quantizer Based on Self-Organizing Map for High-Speed Image Compression. <em>Appl. Sci.</em> 2017, 7, 1106
title_full_unstemmed A Hardware-Efficient Vector Quantizer Based on Self-Organizing Map for High-Speed Image Compression. <em>Appl. Sci.</em> 2017, 7, 1106
title_sort hardware-efficient vector quantizer based on self-organizing map for high-speed image compression. <em>appl. sci.</em> 2017, 7, 1106
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2019-04-01
description We, the authors, wish to make the following corrections to our published paper [...]
topic n/a
url https://www.mdpi.com/2076-3417/9/7/1377
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