Gabor transforms: some new properties on the Gabor transform matrix
Xiang‐Gen Xia, Shie Qian
Abstract
Xiang‐Gen Xia, Shie Qian
Abstract
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.
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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.
Key concepts: Gabor transform, Matrix (chemical analysis), Frequency domain, Domain (mathematical analysis), Time–frequency analysis, Rank (graph theory), Mathematics, Signal processing