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Realization of 2-D linear-phase FIR filters by using the singular-value decomposition

机译:利用奇异值分解实现二维线性相位FIR滤波器

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The singular-value decomposition (SVD) technique is investigated for the realization of a general two-dimensional (2-D) linear-phase FIR filter with an arbitrary magnitude response. A parallel realization structure consisting of a number of one-dimensional (1-D) FIR subfilters is obtained by applying the SVD to the impulse response of a 2-D filter. It is shown that by using the symmetry property of the 2-D impulse response and by developing an appropriate unitary transformation, an SVD yielding linear-phase constituent 1-D filters can always be obtained so that the efficient structures of the 1-D linear-phase filters can be exploited for 2-D realization. It is shown that when the 2-D filter to be realized has some specified symmetry in its magnitude response, the proposed SVD realization would yield a magnitude characteristic with the same symmetry. An analysis is carried out to obtain tight upper bounds for the errors in the impulse response as well as in the frequency response of the realized filter. It is shown that the number of parallel sections can be reduced significantly without introducing large errors, even in the case of 2-D filters with nonsymmetric magnitude response.
机译:为了实现具有任意幅度响应的通用二维(2-D)线性相位FIR滤波器,研究了奇异值分解(SVD)技术。通过将SVD应用于2-D滤波器的脉冲响应,可以获得由多个一维(1-D)FIR子滤波器组成的并行实现结构。结果表明,利用2-D脉冲响应的对称特性并通过进行适当的unit变换,可以始终获得产生SVD的线性相组成的1-D滤波器,从而获得1-D线性的有效结构。相滤波器可以用于二维实现。结果表明,当要实现的二维滤波器的幅度响应具有特定的对称性时,所提出的SVD实现将产生具有相同对称性的幅度特性。进行分析以获得对于所实现的滤波器的脉冲响应以及频率响应中的误差的严格上限。结果表明,即使在具有非对称幅度响应的二维滤波器的情况下,也可以显着减少并行部分的数量而不会引入大的误差。

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