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Gabor transforms: some new properties on the Gabor transform matrix

机译:Gabor变换:Gabor变换矩阵的一些新属性

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By using the discrete Gabor transform or expansion, the time domain sequences are mapped into the joint time-frequency domain matrices or vice versa. In many applications, it is more effective to process signals, i.e., two dimensional matrices, in the joint time-frequency domain than in the time or frequency domain alone. From the mathematical point of view, the processing of the discrete Gabor coefficients is no more than the matrix computation. So it is beneficial to understand the properties of the Gabor coefficient matrix. In this paper, we investigate the rank of the Gabor coefficient matrix of a one dimensional time domain signal, which is one of the most important matrix properties.
机译:通过使用离散Gabor变换或扩展,可以将时域序列映射到联合时频域矩阵中,反之亦然。在许多应用中,在联合时频域中处理信号,即二维矩阵,比仅在时域或频域中处理更为有效。从数学的角度来看,离散Gabor系数的处理只不过是矩阵计算。因此,了解Gabor系数矩阵的性质是有益的。在本文中,我们研究了一维时域信号的Gabor系数矩阵的秩,这是最重要的矩阵属性之一。

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