Analytic Phase Derivatives, All-Pass Filters and Signals of Minimum Phase

It is accepted knowledge that inner functions and outer functions in complex analysis correspond, respectively, to all-pass filters and signals of minimum phase. The knowledge, however, has not been justified for general inner and outer functions. In digital signal processing the correspondence and related results are based on studies of rational functions. In this paper, based on the recent result on positivity of phase derivatives of inner functions, we establish the theoretical foundation for all-pass filters and signals of minimum phase. We, in particular, deal with infinite Blaschke products and general singular inner functions induced by singular measures. A number of results known for rational functions are generalized to general inner functions. Both the discrete and continuous signals cases are rigorously treated.

[1]  Prashant Parikh A Theory of Communication , 2010 .

[2]  Balth. van der Pol,et al.  The Fundamental Principles of Frequency Modulation , 1946 .

[3]  N. Wiener,et al.  Fourier Transforms in the Complex Domain , 1934 .

[4]  Helly Fourier transforms in the complex domain , 1936 .

[5]  Anthony D. Fagan,et al.  Gradient-adaptive algorithms for minimumphase-all-pass decomposition of a finite impulse response system , 2010 .

[6]  Ramdas Kumaresan,et al.  On minimum/maximum/all-pass decompositions in time and frequency domains , 2000, IEEE Trans. Signal Process..

[7]  Paul Koosis,et al.  Introduction to Hp Spaces , 1999 .

[8]  Thomas Damon Introduction to space , 1989 .

[9]  Yuesheng Xu,et al.  Fourier spectrum characterization of Hardy spaces and applications , 2008 .

[10]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[11]  A. W. M. van den Enden,et al.  Discrete Time Signal Processing , 1989 .

[12]  Stephen A. Dyer,et al.  Digital signal processing , 2018, 8th International Multitopic Conference, 2004. Proceedings of INMIC 2004..

[13]  Holger Boche,et al.  Robustness of the Inner–Outer Factorization and of the Spectral Factorization for FIR Data , 2008, IEEE Transactions on Signal Processing.

[14]  Tao Qian,et al.  Hardy–Sobolev derivatives of phase and amplitude, and their applications , 2012 .

[15]  Tao Qian,et al.  Boundary derivatives of the phases of inner and outer functions and applications , 2009 .

[16]  R. Kumaresan,et al.  Covert zero-crossings represent envelope and phase of band-pass signals , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

[17]  J. Cooper SINGULAR INTEGRALS AND DIFFERENTIABILITY PROPERTIES OF FUNCTIONS , 1973 .

[18]  J. R. Carson,et al.  Variable frequency electric circuit theory with application to the theory of frequency-modulation , 1937 .

[19]  Z. Nehari Bounded analytic functions , 1950 .

[20]  Ramdas Kumaresan,et al.  Algorithm for decomposing an analytic signal into AM and positive FM components , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[21]  E. J. Akutowicz On the determination of the phase of a Fourier integral. I , 1956 .

[22]  Tao Qian,et al.  Hardy-Sobolev Spaces Decomposition in Signal Analysis , 2011 .

[23]  Boualem Boashash,et al.  Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals , 1992, Proc. IEEE.

[24]  Leon Cohen,et al.  Time Frequency Analysis: Theory and Applications , 1994 .

[25]  C. Pommerenke Boundary Behaviour of Conformal Maps , 1992 .

[26]  Bernard C. Picinbono,et al.  On instantaneous amplitude and phase of signals , 1997, IEEE Trans. Signal Process..

[27]  Leon Cohen,et al.  On analytic signals with nonnegative instantaneous frequencies , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[28]  Serena Migliorini,et al.  A new rigidity result for holomorphic maps , 2002 .

[29]  R. Cooke Real and Complex Analysis , 2011 .