Name
Abstract | ||
|---|---|---|
In this paper, a new iterative algorithm is used to convert analog signals to digital (A/D) using an asynchronous A/D converter. It is a realtime system, which encodes the amplitude information of the analog signal into a time sequence. In particular, using asynchronous systems for data conversion is an effective technique in order to reduce power consumption. The decoder should recover original signal from irregular samples. If a more intelligent reconstruction technique is used for decoding, signals with higher bandwidth can be digitized. In this work, we employ delta- and sigma-delta level-crossing sampling schemes. These asynchronous A/D converters are simple to implement and have very good performance with lower power consumption. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1186/1687-6180-2011-109 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
signal reconstruction, analog-to-digital converter, level-crossing sampling, iterative algorithm | Digital signal processing,Computer science,Real-time computing,Analog-to-digital converter,Data conversion,Electronic engineering,Artificial intelligence,Analog signal,Asynchronous communication,Computer vision,Bandwidth (signal processing),Decoding methods,Signal reconstruction | Journal |
Volume | Issue | ISSN |
2011 | 1 | 1687-6180 |
Citations | PageRank | References |
9 | 0.45 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammadmehdi Kafashan | 1 | 73 | 4.49 |
| Sajjad Beygi-Harchegani | 2 | 9 | 0.45 |
| Farrokh Marvasti | 3 | 113 | 13.55 |