4 research outputs found

    On uniform convergence of Fourier series

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    We consider the space U(T)U(\mathbb T) of all continuous functions on the circle T\mathbb T with uniformly convergent Fourier series. We show that if φ:TT\varphi: \mathbb T\rightarrow\mathbb T is a continuous piecewise linear but not linear map, then einφU(T)logn\|e^{in\varphi}\|_{U(\mathbb T)}\simeq\log n

    Signal and System Approximation from General Measurements

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    In this paper we analyze the behavior of system approximation processes for stable linear time-invariant (LTI) systems and signals in the Paley-Wiener space PW_\pi^1. We consider approximation processes, where the input signal is not directly used to generate the system output, but instead a sequence of numbers is used that is generated from the input signal by measurement functionals. We consider classical sampling which corresponds to a pointwise evaluation of the signal, as well as several more general measurement functionals. We show that a stable system approximation is not possible for pointwise sampling, because there exist signals and systems such that the approximation process diverges. This remains true even with oversampling. However, if more general measurement functionals are considered, a stable approximation is possible if oversampling is used. Further, we show that without oversampling we have divergence for a large class of practically relevant measurement procedures.Comment: This paper will be published as part of the book "New Perspectives on Approximation and Sampling Theory - Festschrift in honor of Paul Butzer's 85th birthday" in the Applied and Numerical Harmonic Analysis Series, Birkhauser (Springer-Verlag). Parts of this work have been presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing 2014 (ICASSP 2014

    Decreasing rearranged Fourier series

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