Review on One-Bit Compressive Sensing and its Biomedical Applications

被引:0
作者
Han, Xiao [1 ,2 ]
Yang, Haiyan [1 ,2 ]
Huang, Xiaolin [1 ,2 ]
机构
[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200240, Peoples R China
[2] MOE Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China
来源
2018 IEEE 23RD INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP) | 2018年
基金
中国国家自然科学基金;
关键词
one-bit compressive sensing; Mixed One-bit Compressive Sensing; reconstruction algorithm; VARIABLE SELECTION; ART;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As a specific class of compressive sensing, one bit compressive sensing can use sign measurements (one-bit information) to recover sparse signals. One-bit information can be sampled in a very high rate with a relatively low cost. The progress of 1bit-CS, including models, algorithms, and applications, is reviewed in this paper. Additionally, mixed One bit compressive sensing, which can deal with analog and sign measurements simultaneously, is introduced together with an experiment on computed tomography for a phantom.
引用
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页数:5
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