Title :
Factorization for analog-to-digital matrix multiplication
Author :
Lee, Edward H. ; Udell, Madeleine ; Wong, S. Simon
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
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.
Keywords :
analogue multipliers; analogue-digital conversion; matrix decomposition; signal processing; AD-MM; analog multiplication; analog-to-digital conversions; analog-to-digital matrix multiplication; convex relaxation; factorization algorithm; matrix factorization; Accuracy; Compressed sensing; Hardware; Image reconstruction; Matrix converters; Receivers; Signal to noise ratio; Analog-to-digital conversion; analog-to-information; compressed sensing; matrix factorization;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7178132
