The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
여러 확률 변수(RV) 구현의 각 좌표를 해당 RV의 분포 함수로 변환하고 범위 공간을 균일한 그리드로 분할합니다. 예상되는 점유 그리드 박스 수는 이러한 RV가 독립적일 때 가장 커집니다. 이러한 사실을 바탕으로 우리는 GO(Grid Occupancy)라는 새로운 독립성 척도를 제안합니다. 또한 GO에서 매개변수, 즉 관찰 수와 양자화 수준 수를 최적으로 선택하는 방법에 대한 문제도 해결합니다. 또한 ICA(독립성분분석)에도 GO를 적용합니다. GO 기반 ICA 알고리즘은 임의의 연속 분포로 신호를 분리할 수 있으며 디지털 하드웨어 구현을 선호합니다.
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Yang CHEN, "A Novel Grid Occupancy Criterion for Independent Component Analysis" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 8, pp. 1874-1882, August 2009, doi: 10.1587/transfun.E92.A.1874.
Abstract: Transform each coordinate of the realizations of several random variables (RVs) by the distribution function of the corresponding RV and partition the range space into a uniform grid. The expected number of occupied grid-boxes will be greatest when these RVs are independent. Based on this fact, we propose a novel measure of independence named grid occupancy (GO). We also address the problem of how to make optimum selection of the parameters in GO, i.e., the number of observations and the number of quantization levels. In addition, we apply GO to independent component analysis (ICA). The GO based ICA algorithm can separate signals with arbitrary continuous distributions and favors digital hardware implementation.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.1874/_p
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@ARTICLE{e92-a_8_1874,
author={Yang CHEN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Novel Grid Occupancy Criterion for Independent Component Analysis},
year={2009},
volume={E92-A},
number={8},
pages={1874-1882},
abstract={Transform each coordinate of the realizations of several random variables (RVs) by the distribution function of the corresponding RV and partition the range space into a uniform grid. The expected number of occupied grid-boxes will be greatest when these RVs are independent. Based on this fact, we propose a novel measure of independence named grid occupancy (GO). We also address the problem of how to make optimum selection of the parameters in GO, i.e., the number of observations and the number of quantization levels. In addition, we apply GO to independent component analysis (ICA). The GO based ICA algorithm can separate signals with arbitrary continuous distributions and favors digital hardware implementation.},
keywords={},
doi={10.1587/transfun.E92.A.1874},
ISSN={1745-1337},
month={August},}
부
TY - JOUR
TI - A Novel Grid Occupancy Criterion for Independent Component Analysis
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1874
EP - 1882
AU - Yang CHEN
PY - 2009
DO - 10.1587/transfun.E92.A.1874
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2009
AB - Transform each coordinate of the realizations of several random variables (RVs) by the distribution function of the corresponding RV and partition the range space into a uniform grid. The expected number of occupied grid-boxes will be greatest when these RVs are independent. Based on this fact, we propose a novel measure of independence named grid occupancy (GO). We also address the problem of how to make optimum selection of the parameters in GO, i.e., the number of observations and the number of quantization levels. In addition, we apply GO to independent component analysis (ICA). The GO based ICA algorithm can separate signals with arbitrary continuous distributions and favors digital hardware implementation.
ER -