Abstract
This paper concerns the reconstruction of a function f in the Hardy space of the unit disc \(\mathbb{D}\) by using a sample value f (a) and certain n-intensity measurements \(\left| {\left\langle {f,{E_{{a_1} \cdots {a_n}}}} \right\rangle} \right|\), where a1, ⋯, \({a_n} \in \mathbb{D}\), and \({E_{{a_1} \cdots {a_n}}}\) is the n-th term of the Gram-Schmidt orthogonalization of the Szegö kernels \({k_{{a_1}}}, \cdots ,{k_{{a_n}}}\), or their multiple forms. Three schemes are presented. The first two schemes each directly obtain all the function values f (z). In the first one we use Nevanlinna’s inner and outer function factorization which merely requires the 1-intensity measurements equivalent to know the modulus |f (z)|. In the second scheme we do not use deep complex analysis, but require some 2- and 3-intensity measurements. The third scheme, as an application of AFD, gives sparse representation of f (z) converging quickly in the energy sense, depending on consecutively selected maximal n-intensity measurements \(\left| {\left\langle {f,{E_{{a_1} \cdots {a_n}}}} \right\rangle} \right|\).
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References
Chen, Q H, Qian T, Tan L H. A Theory on Non-Constant Frequency Decompositions and Applications. Advancements in Complex Analysis. Cham: Springer, 2020: 1–37
Garnett J. Bounded Analytic Functions. 236. Springer Science & Business Media, 2007
Li Y F, Zhou C. Phase retrieval of finite Blaschke projection. Mathematical Methods in the Applied Sciences, 2020, 43(15): 9090–9101
Qian T. Cyclic AFD Algorithm for best rational. Mathematical Methods in the Applied Sciences, 2014, 37(6): 846–859
Qian T. Sparse representations of random signals. Mathematical Methods in the Applied Sciences, 2021, accepted
Qian T, Wang Y B. Adaptive Fourier series — A variation of greedy algorithm. Advances in Computational Mathematics, 2011, 34(3): 279–293
Qian T, Wang J Z, Mai W X. An enhancement algorithm for cyclic adaptive Fourier decomposition. Applied and Computational Harmonic Analysis, 2019, 47(2): 516–525
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Dedicated to the memory of Professor Jiarong YU
Tao Qian was funded by The Science and Technology Development Fund, Macau SAR (File no. 0123/2018/A3). You-Fa Li was supported by the Natural Science Foundation of China (61961003, 61561006, 11501132), Natural Science Foundation of Guangxi (2016GXNS-FAA380049) and the talent project of the Education Department of the Guangxi Government for one thousand Young-Middle-Aged backbone teachers. Wei Qu was supported by the Natural Science Foundation of China (12071035).
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Qu, W., Qian, T., Deng, G. et al. Analytic Phase Retrieval Based on Intensity Measurements. Acta Math Sci 41, 2123–2135 (2021). https://doi.org/10.1007/s10473-021-0619-x
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DOI: https://doi.org/10.1007/s10473-021-0619-x
Key words
- phase retrieval
- Hardy space of the unit disc
- Szegö kernel
- Takenaka-Malmquist system
- Gram-Schmidt orthogonalization
- adaptive Fourier decomposition