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Matrix approach to frame analysis of Gabor-type image representation

机译:Gabor型图像表示的框架分析的矩阵方法

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Abstract: An approach for characterizing the properties of basisfunctions which constitute a finite scheme of discreteGabor representation is presented in the context ofoversampling. The approach is based on the concept offrames and utilizes the Piecewise Finite Zak Transform(PFZT). The frame operator associated with theGabor-type frame is examined by representing the frameoperator as a matrix-valued function in the PFZTdomain. The frame property of the Gabor representationfunctions are examined in relation to the properties ofthe matrix-valued function. The frame bounds arecalculated by means of the eigenvalues of thematrix-valued function, and the dual frame, which isused in calculation of the expansion coefficients, isexpressed by means of the inverse matrix. DFT-basedalgorithms for computation of the expansioncoefficients, and for the reconstruction of signalsfrom these coefficients are generalized for the case ofoversampling of the Gabor space.!8
机译:摘要:在过采样的情况下,提出了一种表征基函数性质的方法,该基函数构成离散Gabor表示的有限方案。该方法基于帧的概念,并利用分段有限Zak变换(PFZT)。通过将帧运算符表示为PFZT域中的矩阵值函数来检查与Gabor型帧关联的帧运算符。结合矩阵值函数的属性检查了Gabor表示函数的框架属性。借助于矩阵值函数的特征值来计算帧边界,并且通过逆矩阵来表达用于计算扩展系数的对偶帧。在Gabor空间过采样的情况下,推广了基于DFT的算法,用于计算扩展系数,并从这些系数重建信号!8

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