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公开(公告)号：US09734128B2
公开(公告)日：2017-08-15
申请号：US14405234
申请日：2013-06-03
Applicant: GWANGJU INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Heung No Lee , Jin Taek Seong
CPC classification number: G06F17/10 , H03H17/0255
Abstract: A method for recovering a sparse signal of a finite field may include: updating discrete probability information of a target signal element of the finite field and discrete probability information of a measurement signal element of the finite field by exchanging the discrete probability information of the target signal element with the discrete probability information of the measurement signal element a predetermined number of times, wherein the target signal element and the measurement signal element are related to each other; calculating a final posteriori probability based on a priori probability of the target signal element and the discrete probability information of the measurement signal element, acquired as the exchange result; and recovering the target signal by performing maximum posteriori estimation to maximize the final posteriori probability.
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2.发明申请METHOD FOR RECONSTRUCTING SPARSE SIGNAL IN FINITE FIELD, APPARATUS FOR RECONSTRUCTING SPARSE SIGNAL IN FINITE FIELD, AND RECORDING MEDIUM FOR RECORDING RECONSTRUCTION METHOD 有权用于在有限场中重新编码小信号的方法，用于在有限场中重新编码小信号的装置和用于记录重建方法的记录介质公开(公告)号：US20150149520A1
公开(公告)日：2015-05-28
申请号：US14405234
申请日：2013-06-03
Applicant: GWANGJU INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Heung No Lee , Jin Taek Seong
IPC: G06F17/10
CPC classification number: G06F17/10 , H03H17/0255
Abstract: A method for recovering a sparse signal of a finite field may include: updating discrete probability information of a target signal element of the finite field and discrete probability information of a measurement signal element of the finite field by exchanging the discrete probability information of the target signal element with the discrete probability information of the measurement signal element a predetermined number of times, wherein the target signal element and the measurement signal element are related to each other; calculating a final posteriori probability based on a priori probability of the target signal element and the discrete probability information of the measurement signal element, acquired as the exchange result; and recovering the target signal by performing maximum posteriori estimation to maximize the final posteriori probability.
Abstract translation: 用于恢复有限域的稀疏信号的方法可以包括：通过交换目标信号的离散概率信息来更新有限域的目标信号元素的离散概率信息和有限域的测量信号元素的离散概率信息 元素，其中测量信号元素的离散概率信息预定次数，其中目标信号元素和测量信号元素彼此相关; 基于目标信号元素的先验概率和作为交换结果获取的测量信号元素的离散概率信息来计算最终后验概率; 并通过执行最大后验估计来恢复目标信号以最大化最终后验概率。
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