Factorization for analog-to-digital matrix multiplication

Edward H. Lee; Madeleine Udell; S. Simon Wong

ICASSP 2015accepted0 citations

Factorization for analog-to-digital matrix multiplication

Edward H. Lee, Madeleine Udell, S. Simon Wong

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.

BibTeX

@inproceedings{icassp2015_factorizationfor,
  title = {Factorization for analog-to-digital matrix multiplication},
  author = {Edward H. Lee and Madeleine Udell and S. Simon Wong},
  booktitle = {ICASSP 2015},
  year = {2015}
}