Name
Abstract | ||
|---|---|---|
Compressive sensing (CS) is a promising technique that enables sub-Nyquist sampling, while still guaranteeing the reliable signal recovery. However, existing mixed-signal CS front-end implementation schemes often suffer from high power consumption and nonlinearity. This paper presents a digital-assisted asynchronous compressive sensing (DACS) front-end which offers lower power and higher reconstruction performance relative to the conventional CS-based approaches. The front-end architecture leverages a continuous-time ternary encoding scheme which modulates amplitude variation to ternary timing information. Power is optimized by employing digital-assisted modules in the front-end circuit and a part-time operation strategy for high-power modules. An S-member Group-based Total Variation (S -GTV) algorithm is proposed for the sparse reconstruction of piecewise-constant signals. By including both the inter-group and intra-group total variation, the S-GTV scheme outperforms the conventional TV-based methods in terms of faster convergence rate and better sparse reconstruction performance. Analyses and simulations with a typical ECG recording system confirm that the proposed DACS front-end outperforms a conventional CS-based front-end using a random demodulator in terms of lower power consumption, higher recovery performance, and more system flexibility. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/JETCAS.2012.2222218 | IEEE J. Emerg. Sel. Topics Circuits Syst. |
Keywords | Field | DocType |
signal recovery,asynchronous architecture,signal sampling,random processes,continuous-time ternary encoding,sparse reconstruction,ternary codes,s-member group-based total variation,compressive sensing (cs),ecg recording system,digital assisted asynchronous compressive sensing,continuous time ternary encoding scheme,convergence rate,sub-nyquist sampling,total variation,convergence,compressed sensing,dacs frontend architecture,tv-based method,piecewise constant signal reconstruction,amplitude modulation,signal reconstruction,amplitude variation modulation,ternary timing information,digital-assisted front-end,part-time randomization,s-gtv scheme,random demodulator,generators,encoding | Front and back ends,Asynchronous communication,Demodulation,Computer science,Electronic engineering,Rate of convergence,Amplitude modulation,Compressed sensing,Signal reconstruction,Encoding (memory) | Journal |
Volume | Issue | ISSN |
2 | 3 | 2156-3357 |
Citations | PageRank | References |
6 | 0.48 | 22 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Zhou | 1 | 6 | 0.48 |
| Mario A. Ramirez | 2 | 11 | 1.56 |
| Samuel Palermo | 3 | 142 | 22.07 |
| Sebastian Hoyos | 4 | 234 | 29.24 |