Earticle

초록

영어

Random demodulation based compressive sampling technique is a novel approach that it can break through the Shannon sampling theorem for the sparse signal capturing. A major challenge in the random demodulation based sampling system is the random sequence generation. In this paper, we introduce an approach to generate the high-speed random sequence that meets the incoherence of compressive sampling. The proposed technique employs a field programmable gate array (FPGA). First, the random sequence is parallel stored in the memory of FPGA, and it is read out byte by byte using a low speed clock. Second, the low-speed byte sequence is converted to a high-speed bit sequence by a circuitry. This proposed approach can program the random sequence dynamically without making any change to the circuitry system. Experimental results indicate that, the random sequence generated by the proposed approach is feasible to sensing the signal, and the constructed system can compressively sample and reconstruct the sparse signal.

목차

Abstract
 1. Introduction
 2. Review of CS Theory
 3. Properties of the Random Sequence
 4. Parallel-to-Serial Random Sequence Generation
 5. Experimental Results
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Li Wang [ School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China ]
• Yijiu Zhao [ School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China ]
• Zhijian Dai [ School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605