Name
Abstract | ||
|---|---|---|
We present matrix factorization as an enabling technique for analog-to-digital matrix multiplication (AD-MM). We show that factorization in the analog domain increases the total precision of AD-MM in precision-limited analog multiplication, reduces the number of analog-to-digital (A/D) conversions needed for overcomplete matrices, and avoids unneeded computations in the digital domain. Finally, we present a factorization algorithm using alternating convex relaxation. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) | Analog-to-digital conversion, matrix factorization, compressed sensing, analog-to-information |
Field | DocType | ISSN |
Matrix (mathematics),Computer science,Multiplication,Artificial intelligence,Compressed sensing,Computation,Algebra,Pattern recognition,Matrix decomposition,Signal-to-noise ratio,Algorithm,Factorization,Matrix multiplication | Conference | 1520-6149 |
Citations | PageRank | References |
3 | 0.78 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Edward Lee | 1 | 66 | 9.90 |
| Madeleine Udell | 2 | 78 | 14.38 |
| S. Simon Wong | 3 | 332 | 40.81 |