Design of a Low-power Compressive Sampling Circuit for Gaussian Sensing Matrices

被引：0

作者：

Bahmanyar, Parvin ^{[1
]}

Hosseini-Khayat, Saied ^{[1
]}

机构：

[1] Ferdowsi Univ Mashhad, Dept Elect Engn, Digital Syst Design Lab, Mashhad 91775, Iran

来源：

2013 21ST IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) | 2013年

关键词：

Compressive sampling; analog integrated circuit; low power consumption; Gaussian sensing matrix;

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：

The new theory of compressed sensing concerns the acquisition and recovery of sparse signals from their sub-Nyquist sampled data. This paper presents an analog implementation of compressed sensing with Gaussian sensing matrices. The proposed circuit is based on charge redistribution similar to the successive approximation analog-to-digital converters and produces a random sensing matrix with Gaussian entries of 8-bit resolution. This circuit was implemented in 0.18 mu m CMOS process. Simulation results show that the circuit achieves a percentage root-mean-square difference of 2% or less when the input signal is composed of up to 47 different sine waves all having frequencies less than 25 kHz. The total (simulated) power consumption of the circuit is approximately 12.5 mu W at 1-volt supply voltage and sampling rate of 50 kS/s.

引用

页数：5