@article{fffe19d7f14846e0928bf440e94b4704,
title = "Simple improved full search for vector quantization based on Winograd's identity",
abstract = "Vector quantization (VQ) technique is a well known method in image compression. Employing Winograd's identity, this letter presents a simple improved method in order to cut the computation time in the full search method for VQ nearly 50%. Some experiments are carried out to confirm the theoretical analysis.",
author = "Chung, {Kuo Liang} and Yan, {Wen Ming} and Wu, {Jung Gen}",
note = "Funding Information: Manuscript received July 17, 2000. This work was supported in part by Grants NSC89-2213-E011-061, NSC87-2119-M002-006, and NSC89-2614-H-003-001-F20, National Science Council, Taiwan, R.O.C. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. R. L. de Queiroz.",
year = "2000",
month = dec,
doi = "10.1109/97.883363",
language = "English",
volume = "7",
pages = "342--344",
journal = "IEEE Signal Processing Letters",
issn = "1070-9908",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "12",
}