scholarly journals Design of Broadband Compressed Sampling Receiver Based on Concurrent Alternate Random Sequences

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 135525-135538 ◽  
Author(s):  
Peng Wang ◽  
Fei You ◽  
Songbai He
IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 30342-30354 ◽  
Author(s):  
Tao Chen ◽  
Lizhi Liu ◽  
Xiangsong Huang

2011 ◽  
Vol 10 (3) ◽  
pp. 231-254
Author(s):  
Akram Aldroubi ◽  
Haichao Wang ◽  
Kourosh Zarringhalam

2020 ◽  
Vol 70 (6) ◽  
pp. 1457-1468
Author(s):  
Haroon M. Barakat ◽  
M. H. Harpy

AbstractIn this paper, we investigate the asymptotic behavior of the multivariate record values by using the Reduced Ordering Principle (R-ordering). Necessary and sufficient conditions for weak convergence of the multivariate record values based on sup-norm are determined. Some illustrative examples are given.


2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Ming Yin ◽  
Kai Yu ◽  
Zhi Wang

For low-power wireless systems, transmission data volume is a key property, which influences the energy cost and time delay of transmission. In this paper, we introduce compressive sensing to propose a compressed sampling and collaborative reconstruction framework, which enables real-time direction of arrival estimation for wireless sensor array network. In sampling part, random compressed sampling and 1-bit sampling are utilized to reduce sample data volume while making little extra requirement for hardware. In reconstruction part, collaborative reconstruction method is proposed by exploiting similar sparsity structure of acoustic signal from nodes in the same array. Simulation results show that proposed framework can reach similar performances as conventional DoA methods while requiring less than 15% of transmission bandwidth. Also the proposed framework is compared with some data compression algorithms. While simulation results show framework’s superior performance, field experiment data from a prototype system is presented to validate the results.


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