An analog-to-information converter for wideband signals using a time encoding machine

@article{Kong2011AnAC,
  title={An analog-to-information converter for wideband signals using a time encoding machine},
  author={Xiangming Kong and Peter Petre and Roy Matic and Anna C. Gilbert and Martin J. Strauss},
  journal={2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE)},
  year={2011},
  pages={414-419}
}
The compressive sensing theory enables the analog-to-information conversion of a wideband signal directly by sampling the signal below the Nyquist rate and reconstruct the sampled signal perfectly. We developed a unique implementation of compressive sensing that is based on converting the signal to a time-encoded representation. The time encoding process converts an analog signal that has a continuous voltage range to a binary amplitude signal. In a time encoded signal representation, the… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-6 of 6 extracted citations

Clockless signal-dependent compressive sensing of multitone signals using time encoding machine

2017 3rd International Conference on Event-Based Control, Communication and Signal Processing (EBCCSP) • 2017
View 4 Excerpts
Highly Influenced

Analog-to-Information and the Nyquist Folding Receiver

IEEE Journal on Emerging and Selected Topics in Circuits and Systems • 2012
View 7 Excerpts
Highly Influenced

Sample-and-Hold Asynchronous Sigma-Delta Time Encoding Machine

IEEE Transactions on Circuits and Systems II: Express Briefs • 2016
View 2 Excerpts

Compressive sampling of stochastic multiband signal using time encoding machine

2015 International Conference on Sampling Theory and Applications (SampTA) • 2015
View 2 Excerpts

A Time-Encoding Machine Based High-Speed Analog-to-Digital Converter

IEEE Journal on Emerging and Selected Topics in Circuits and Systems • 2012
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 15 references

ADC Performance Survey 1997-2010, [online] http://www.stanford.edu/ murmann/adcsurvey.html

B. Murmann
2010
View 1 Excerpt

Reconstructing sparse signals from their zero crossings

2008 IEEE International Conference on Acoustics, Speech and Signal Processing • 2008

Theory and Implementation of an Analog-to-Information Converter using Random Demodulation

2007 IEEE International Symposium on Circuits and Systems • 2007
View 1 Excerpt

Compressed sensing

IEEE Transactions on Information Theory • 2006
View 2 Excerpts

Random Filters for Compressive Sampling and Reconstruction

2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings • 2006
View 1 Excerpt

Random Sampling for Analog-to-Information Conversion of Wideband Signals

2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software • 2006
View 1 Excerpt

Similar Papers

Loading similar papers…