Factorization for analog-to-digital matrix multiplication

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 n...

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Bibliographic Details
Main Authors: Lee, Edward H., Udell, Madeleine, Wong, S. Simon
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Analog-to-digital conversion
analog-to-information
Compressed sensing
Hardware
Image reconstruction
Matrix converters
matrix factorization
Receivers
Signal to noise ratio
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Description
Summary: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.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2015.7178132