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On the boundedness behavior of the spectral factorization in the Wiener algebra for FIR data

机译:关于FIR数据在Wiener代数中的频谱分解的有界性

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It is known that the spectral factorization mapping is unbounded in the Wiener algebra, in general. However in applications, the given data are often polynomials. For such finite dimensional spectra, the spectral factorization mapping is bounded, of course, but the boundedness constant depends on the degree of the given polynomial spectra. This paper presents lower and upper bounds for this boundedness constant depending on the degree N of the given data.
机译:众所周知,频谱分解映射通常在维纳代数中是无界的。但是,在应用程序中,给定的数据通常是多项式。对于这种有限维频谱,频谱分解映射当然是有界​​的,但是有界常数取决于给定多项式频谱的程度。本文根据给定数据的次数N给出了该有界常数的下界和上限。

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