An efficient algorithm for the representation and approximation of linear time-varying systems is presented via the fast real-valued discrete Gabor transform. Compared with the existing algorithm based on the traditio...An efficient algorithm for the representation and approximation of linear time-varying systems is presented via the fast real-valued discrete Gabor transform. Compared with the existing algorithm based on the traditional complex-valued discrete Gabor transform, the proposed algorithm runs faster, can more easily be implemented in software or hardware, and leads to a more compact representation. Simulation results are given for demonstration.展开更多
电网原始瞬态波形与噪声的离散GABOR分布特征不同,原始瞬态波形的离散GABOR分布集中,幅值较大;而噪声的离散GABOR分布均匀,能量一定,幅值较低,故可通过选择合适的噪声抑制阀值构造时频掩模函数和多次GABOR展开迭代计算,以实现原始瞬态...电网原始瞬态波形与噪声的离散GABOR分布特征不同,原始瞬态波形的离散GABOR分布集中,幅值较大;而噪声的离散GABOR分布均匀,能量一定,幅值较低,故可通过选择合适的噪声抑制阀值构造时频掩模函数和多次GABOR展开迭代计算,以实现原始瞬态波形和噪声的有效分离。该文利用了电网瞬态信号与噪声GABOR分布特征的不同,构造时频掩模函数,并通过基于离散GABOR变换的迭代算法实现噪声有效滤除。为了验证该算法在去噪的同时能有效保留原信号,文中用IEC1083-2 TDG(Test Data Generator)产生各种具有不同噪声水平的瞬态电压信号,进行去噪和重现原始瞬态信号试验研究,结果表明该算法能有效地消除噪声干扰, 噪声滤除后信号的NRMS误差不超过1%,可准确地重现各种原始瞬态电压信号。且能保持其原始特征。该迭代算法适用于各种电网瞬态信号去噪。展开更多
基金Supported by the Excellent Young Teachers Program of the Ministry of Education, P. R. China (No. 2001-1739 and No. 2003-145)
文摘An efficient algorithm for the representation and approximation of linear time-varying systems is presented via the fast real-valued discrete Gabor transform. Compared with the existing algorithm based on the traditional complex-valued discrete Gabor transform, the proposed algorithm runs faster, can more easily be implemented in software or hardware, and leads to a more compact representation. Simulation results are given for demonstration.
基金山东省自然科学基金(the Natural Science Foundation of Shandong Province of China under Grant No.G2004Z01) 教育部留学回国人员科研启动基金(The Project- sponsored by SRF for ROCS+1 种基金 SEM) 山东大学信息科学与工程学院科研启动基金。
文摘电网原始瞬态波形与噪声的离散GABOR分布特征不同,原始瞬态波形的离散GABOR分布集中,幅值较大;而噪声的离散GABOR分布均匀,能量一定,幅值较低,故可通过选择合适的噪声抑制阀值构造时频掩模函数和多次GABOR展开迭代计算,以实现原始瞬态波形和噪声的有效分离。该文利用了电网瞬态信号与噪声GABOR分布特征的不同,构造时频掩模函数,并通过基于离散GABOR变换的迭代算法实现噪声有效滤除。为了验证该算法在去噪的同时能有效保留原信号,文中用IEC1083-2 TDG(Test Data Generator)产生各种具有不同噪声水平的瞬态电压信号,进行去噪和重现原始瞬态信号试验研究,结果表明该算法能有效地消除噪声干扰, 噪声滤除后信号的NRMS误差不超过1%,可准确地重现各种原始瞬态电压信号。且能保持其原始特征。该迭代算法适用于各种电网瞬态信号去噪。
