通过对算子矩阵和地震波场矩阵进行多分辨分解和压缩,得到了小波域中地震波场正演模拟算法。
Through the multiresolution decomposition and compression of operator matrix and seismic wave field matrix, we proposed a new method of seismic modeling in wavelet domain.
作者从基于分辨矩阵的粗糙集属性约简中受到启发,提出了一系列基于粗集理论的文本特征选择算法,即DB1、DB2、LDB。
The author gains insights from attribute reduction based on discernability matrix and proposes a few rough-set based text feature selection algorithms, i. e. , DB1, DB2 and LDB.
提出了基于分辨矩阵和数据分析的两种数据约简模型,并对分辨矩阵算法做了改进,最后对这两种模型进行了比较。
It proposes two data reduction models based on discernibility matrix and data analysis separately, improves the discernibility matrix algorithm and made the comparison between the two models.
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