CAJ | 학술논문

提出了一种基于量子免疫克隆的压缩感知数据重构算法（Q-CSDR）。算法先提出了一种能够提高数据重构概率的自适应分帧方法，然后利用量子克隆免疫算法的优化组合性能实现数据的精确重构。实验结果表明，Q-CSDR算法能够根据原始信号稀疏度自动调节压缩比率，具有重构速度快，重构精度高，能够适应于高稀疏度数据重构等优点。该算法已应用于秦始皇帝陵博物院野外文物安防系统。经实际检验，收到了良好效果。
제출료일충기우양자면역극륭적압축감지수거중구산법（Q-CSDR）。산법선제출료일충능구제고수거중구개솔적자괄응분정방법，연후이용양자극륭면역산법적우화조합성능실현수거적정학중구。실험결과표명，Q-CSDR산법능구근거원시신호희소도자동조절압축비솔，구유중구속도쾌，중구정도고，능구괄응우고희소도수거중구등우점。해산법이응용우진시황제릉박물원야외문물안방계통。경실제검험，수도료량호효과。
An algorithm of compressed sensor data reconstruction,called Q-CSDR,based on the algorithm of quantum -inspired immune clon,is proposed in this paper.Q -CSDR can increase the probability of data reconstruction through framing the data adaptively.Because of its excellent perform-ance,Q-CSDR uses the algorithm to accurately reconstruct the data.The experiment results show that, according to the sparsity of the original data,the algorithm can automatically adjust compression ratio, raise the accuracy of data reconstruction and adapt well to high sparsity data reconstruction.It is used in the field security system of Emperor Qinshihuang`s mausoleum site museum with good performance.