Abstract
Compressive sensing (CS) provides a mathematical platform for designing analog-to-digital converters (ADCs) that sample signals at sub-Nyquist rates. In particular, the framework espouses a linear sensing system coupled with a non-linear, iterative computational recovery algorithm. A central problem within this platform is the design of practical hardware systems that can be easily calibrated and coupled with computational recovery algorithms. In this paper, we propose a new CS-ADC that resolves some of the practical issues present in prior work. We dub this new system the polyphase random demodulator.
Original language | English (US) |
---|---|
Title of host publication | Conference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 |
Pages | 515-519 |
Number of pages | 5 |
DOIs | |
State | Published - Dec 1 2011 |
Event | 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 - Pacific Grove, CA, United States Duration: Nov 6 2011 → Nov 9 2011 |
Other
Other | 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 |
---|---|
Country/Territory | United States |
City | Pacific Grove, CA |
Period | 11/6/11 → 11/9/11 |
ASJC Scopus subject areas
- Signal Processing
- Computer Networks and Communications