Denoising convolution algorithms and applications to SAR signal processing
DOI10.3934/CAC.2023008MaRDI QIDQ6610135
Chris Leonard, Alina Chertock, S. Tsynkov, S. V. Utyuzhnikov
Publication date: 24 September 2024
Published in: Communications on Analysis and Computation (Search for Journal in Brave)
randomized algorithmlow rank representationsynthetic aperture radar (SAR)generalized ambiguity function (GAF)ground reflectivityimaging kernelquantized tensor train decomposition (QTT)SAR resolutiontensor train decomposition (TT)
Inverse problems in geophysics (86A22) Multilinear algebra, tensor calculus (15A69) Randomized algorithms (68W20) Numerical methods for low-rank matrix approximation; matrix compression (65F55)
Cites Work
- Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions
- Tensor-Train Decomposition
- TT-cross approximation for multidimensional arrays
- Transionospheric synthetic aperture imaging
- \(O(d \log N)\)-quantics approximation of \(N\)-\(d\) tensors in high-dimensional numerical modeling
- Superfast Fourier transform using QTT approximation
- Constructive representation of functions in low-rank tensor formats
- Faster tensor train decomposition for sparse data
- A mathematical perspective on radar interferometry
- A new scheme for the tensor representation
- Randomized algorithms for the approximations of Tucker and the tensor train decompositions
- Multilevel Toeplitz matrices generated by tensor-structured vectors and convolution with logarithmic complexity
- Approximation of $2^d\times2^d$ Matrices Using Tensor Decomposition
- Breaking the Curse of Dimensionality, Or How to Use SVD in Many Dimensions
- Fundamentals of Radar Imaging
- Fast Multidimensional Convolution in Low-Rank Tensor Formats via Cross Approximation
- Parallel Algorithms for Computing the Tensor-Train Decomposition
This page was built for publication: Denoising convolution algorithms and applications to SAR signal processing
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6610135)