An overview on the applications of matrix theory in wireless communications and signal processing
From MaRDI portal
Publication:1736835
DOI10.3390/a9040068zbMath1461.94049OpenAlexW2530562455MaRDI QIDQ1736835
Publication date: 26 March 2019
Published in: Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/a9040068
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Mathematical Theory of Communication
- Characteristic vectors of bordered matrices with infinite dimensions
- A simple proof of the restricted isometry property for random matrices
- Error propagation properties of recursive least-squares adaptation algorithms
- Round-off error propagation in four generally-applicable, recursive, least-squares estimation schemes
- Quantitative robust uncertainty principles and optimally sparse decompositions
- On the numerical stability and accuracy of the conventional recursive least squares algorithm
- Random Matrix Methods for Wireless Communications
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Decoding by Linear Programming
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- A robust recursive least squares algorithm
- Uncertainty principles and ideal atomic decomposition
- Sparse Approximate Solutions to Linear Systems
- New Improved Recursive Least-Squares Adaptive-Filtering Algorithms
- On the Capacity Achieving Covariance Matrix for Frequency Selective MIMO Channels Using the Asymptotic Approach
- A Deterministic Equivalent for the Analysis of Correlated MIMO Multiple Access Channels
- Gradient-based variable forgetting factor RLS algorithm in time-varying environments
- For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
- DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES
- Random Matrix Theory and Wireless Communications
This page was built for publication: An overview on the applications of matrix theory in wireless communications and signal processing