Title :
An integral sampler for analog-to-information converter
Author :
Dong, Zigang ; Zhang, Yuanting
Author_Institution :
Shenzhen Inst. of Adv. Technol., Shenzhen, China
Abstract :
In this paper we have developed a new integral sampler for Analog-to-Information Converter. It makes use of the integrator to sample the signal and adopts the randomness of the signal so as to meet the essential principles of Compressive Sensing (CS) and apply the adaptive sampling of a sparse signal at sub-Nyquist rates.
Keywords :
compressed sensing; signal sampling; adaptive sampling; analog-to-information converter; compressive sensing; integral sampler; integrator; sparse signal; sub-Nyquist rates; Generators;
Conference_Titel :
Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-2176-2
Electronic_ISBN :
978-1-4577-2175-5
DOI :
10.1109/BHI.2012.6211706
