Faint and clustered components in exponential analysis
From MaRDI portal
Publication:2424843
DOI10.1016/j.amc.2017.11.007zbMath1426.94013OpenAlexW2793712274WikidataQ115598204 ScholiaQ115598204MaRDI QIDQ2424843
Marleen Verhoye, Min-nan Tsai, Annie A. M. Cuyt, Wen-Shin Lee
Publication date: 25 June 2019
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2017.11.007
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Padé approximation (41A21)
Related Items (4)
On the robustness of exponential base terms and the Padé denominator in some least squares sense ⋮ Multiscale matrix pencils for separable reconstruction problems ⋮ Modifications of Prony's method for the recovery and sparse approximation with generalized exponential sums ⋮ How to get high resolution results from sparse and coarsely sampled data
Cites Work
- Unnamed Item
- Unnamed Item
- An algorithm for computing a Padé approximant with minimal degree denominator
- Padé approximants and noise: Rational functions
- Padé approximants and noise: A case of geometric series
- Sparse interpolation, the FFT algorithm and FIR filters
- On the distribution of poles of Padé approximants to the \(Z\)-transform of complex Gaussian white noise
- Padé approximations in noise filtering
- The convergence of Padé approximants of meromorphic functions
- Padé approximants and convergence in capacity
- Early termination in Ben-Or/Tiwari sparse interpolation and a hybrid of Zippel's algorithm
- Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise
- On the recovery and resolution of exponential relaxation rates from experimental data: a singular-value analysis of the Laplace transform inversion in the presence of noise
- Robust Padé Approximation via SVD
- Towards a Mathematical Theory of Super‐resolution
- Symbolic-numeric sparse interpolation of multivariate polynomials
This page was built for publication: Faint and clustered components in exponential analysis
