Abstract
We introduce a novel analog-to-digital converter (ADC) based on the traditional successive approximation register. This architecture employs compressive sensing (CS) techniques to acquire and reconstruct frequency sparse signals. One important difference between our approach and traditional CS systems is that our architecture constrains the number of bits used during acquisition rather than the number of measurements. Our system is able to flexibly partition a fixed budget in order to trade the number of measurements it acquires with the quantization depth given to each measurement. We show that this degree of flexibility is particularly advantageous for ameliorating the CS noise folding phenomenon, allowing our ADC significant gains over measurement-constrained compressive sensing systems.
Original language | English (US) |
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Title of host publication | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings |
Pages | 5313-5316 |
Number of pages | 4 |
DOIs | |
State | Published - Oct 23 2012 |
Event | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan Duration: Mar 25 2012 → Mar 30 2012 |
Other
Other | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 |
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Country | Japan |
City | Kyoto |
Period | 3/25/12 → 3/30/12 |
Keywords
- analog-digital conversion
- compressed sensing
- nonuniform sampling
ASJC Scopus subject areas
- Signal Processing
- Software
- Electrical and Electronic Engineering