TY - GEN
T1 - A new block compressive sensingto control the number of measurements
AU - Lee, Hyungkeuk
AU - Oh, Heeseok
AU - Lee, Sanghoon
PY - 2011
Y1 - 2011
N2 - Compressive Sensing (CS) aims to recover a sparse signal from a small number of projections onto random vectors. Because of its great practical possibility, both academia and industries have made efforts to develop the CS's reconstruction performance, but most of existing works remain at the theoretical study. In this paper, we propose a new Block Compres-sive Sensing (nBCS), which has several benefits compared to the general CS methods. In particular, the nBCS can be dynamically adaptive to varying channel capacity because it conveys the good inheritance of the wavelet transform.
AB - Compressive Sensing (CS) aims to recover a sparse signal from a small number of projections onto random vectors. Because of its great practical possibility, both academia and industries have made efforts to develop the CS's reconstruction performance, but most of existing works remain at the theoretical study. In this paper, we propose a new Block Compres-sive Sensing (nBCS), which has several benefits compared to the general CS methods. In particular, the nBCS can be dynamically adaptive to varying channel capacity because it conveys the good inheritance of the wavelet transform.
UR - http://www.scopus.com/inward/record.url?scp=84863027298&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863027298&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2011.6116229
DO - 10.1109/ICIP.2011.6116229
M3 - Conference contribution
AN - SCOPUS:84863027298
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2713
EP - 2716
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -