Tutor: | Maik Röper |
Type of Thesis: | Project (MSc) |
date of issue: | 03/2020 |
Student: | Sheena Moin |
Status: | in progress |
Abstract: | In the context of digitial signal processing, the calculation of eigenvalues and their respective eigenvectors of some matrix A is of great interest. To compute them for large matrices, a parallel implementation of eigenvalue algorithms can reduce the computational time. For distributed implementation, the processing units have no acces to a central memory. Therefore they have only local information about the matrix A available and need to exchange information between each other. The main question for this work are
Requirements: Basic Matab programming skills, knowledge in linear algebra Literature [1] F. Penna and S. Stanczak, "Decentralized Eigenvalue Algorithms for Distributed Signal Detection in Wireless Networks" [2] J. Mohammadi, S. Limmer and S. Stanczak, "A Decentralized Eigenvalue Computation Method for Spectrum Sensing Based on Average Consensus" |