Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject Sparse matrices
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 2005 | Learning short multivariate time series models through evolutionary and sparse matrix computation | Swift, S; Kok, J; Liu, X |
| 2007 | Power modeling and efficient FPGA implementation of FHT for signal processing | Amira, A; Chandrasekaran, S |