IEEE Circuits and Systems Magazine - Q1 2020 - 60

[16] R. Gribonval and M. Nielsen, "Sparse representations in unions of
bases," IEEE Trans. Inf. Theory, vol. 49, no. 12, pp. 3320-3325, Dec. 2003.
doi: 10.1109/TIT.2003.820031.
[17] A. A. Goldstein, "Convex programming in Hilbert space," Bull. Amer.
Math. Soc., vol. 70, no. 5, pp. 709-710, 1964. doi: 10.1090/S0002-99041964-11178-2.
[18] J. P. Boyle and R. L. Dykstra, A Method for Finding Projections onto
the Intersection of Convex Sets in Hilbert Spaces. New York: SpringerVerlag, 1986, pp. 28-47.
[19] J. Duarte-Carvajalino and G. Sapiro, "Learning to sense sparse signals: Simultaneous sensing matrix and sparsifying dictionary optimization," IEEE Trans. Image Process., vol. 18, no. 7, pp. 1395-1408, 2009. doi:
10.1109/TIP.2009.2022459.
[20] W. Chen, M. Rodrigues, and I. Wassell, "Projection design for statistical compressive sensing: A tight frame based approach," IEE Trans.
Signal Process., vol. 61, no. 8, pp. 2016-2028, Apr. 2013. doi: 10.1109/
TSP.2013.2245661.
[21] N. Cleju, "Optimized projections for compressed sensing via rankconstrained nearest correlation matrix," Appl. Comput. Harmon. Anal.,
vol. 36, no. 3, pp. 495-507, May 2014. doi: 10.1016/j.acha.2013.08.005.
[22] J. Xu, Y. Pi, and Z. Cao, "Optimized projection matrix for compressive sensing," EURASIP J. Adv. Signal Process., vol. 2010, no. 1, p. 560,349,
2010. doi: 10.1155/2010/560349.
[23] T. Strohmer and R. W. Heath, Jr, "Grassmannian frames with applications to coding and communication," Appl. Comput. Harmon. Anal.,
vol. 14, no. 3, pp. 257-275, 2003. doi: 10.1016/S1063-5203(03)00023-X.
[24] H. Bai, S. Li, and X. He, "Sensing matrix optimization based on
equiangular tight frames with consideration of sparse representation
error," IEEE Trans. Multimedia, vol. 18, no. 10, pp. 2040-2053, Oct. 2016.
doi: 10.1109/TMM.2016.2595261.
[25] J. Kovacˇevic´ and A. Chebira, "Life beyond bases: The advent of
frames (Part I)," IEEE Signal Process. Mag., vol. 24, no. 4, pp. 86-104,
July 2007. doi: 10.1109/MSP.2007.4286567.
[26] J. Kovacˇevic´ and A. Chebira, "Life beyond bases: The advent of
frames (Part II)," IEEE Signal Process. Mag., vol. 24, no. 6, pp. 115-125,
Sept. 2007. doi: 10.1109/MSP.2007.904809.
[27] G. Li, Z. Zhu, D. Yang, L. Chang, and H. Bai, "On projection matrix
optimization compressive sensing systems," IEEE Trans. Signal Process.,
vol. 61, no. 11, pp. 2887-2898, June 2013. doi: 10.1109/TSP.2013.2253776.
[28] M. Elad, "Optimized projections for compressed sensing," IEEE
Trans. Signal Process., vol. 55, no. 12, pp. 5695-5702, Dec. 2007. doi:
10.1109/TSP.2007.900760.
[29] S. Pazos, M. Hurtado, C. H. Muravchik, and A. Nehorai, "Projection
matrix optimization for sparse signals in structured noise," IEEE Trans.
Signal Process., vol. 63, no. 15, pp. 3902-3913, Aug. 2015. doi: 10.1109/
TSP.2015.2434328.
[30] M. Mangia, R. Rovatti, and G. Setti, "Rakeness in the design of analog-to-information conversion of sparse and localized signals," IEEE
Trans. Circuits Syst. I, Reg. Papers, vol. 59, no. 5, pp. 1001-1014, May 2012.
doi: 10.1109/TCSI.2012.2191312.
[31] M. Mangia, F. Pareschi, V. Cambareri, R. Rovatti, and G. Setti,
"Rakeness-based design of low-complexity compressed sensing," IEEE
Trans. Circuits Syst. I, Reg. Papers, vol. 64, no. 5, 2017. doi: 10.1109/TCSI
.2017.2649572.
[32] R. Rovatti, G. Mazzini, and G. Setti, "Enhanced rake receivers for
chaos-based DS-CDMA," IEEE Trans. Circuits Syst. I, Fundam. Theory
Appl., vol. 48, no. 7, pp. 818-829, July 2001. doi: 10.1109/81.933323.
[33] G. Setti, R. Rovatti, and G. Mazzini, "Performance of chaosbased asynchronous DS-CDMA with different pulse shapes," IEEE Commun. Lett., vol. 8, no. 7, pp. 416-418, July 2004. doi: 10.1109/LCOMM
.2004.832759.
[34] R. Rovatti, G. Mazzini, and G. Setti, "Memory-m antipodal processes: Spectral analysis and synthesis," IEEE Trans. Circuits Syst. I, Reg.
Papers, vol. 56, no. 1, Jan. 2009. doi: 10.1109/TCSI.2008.920986.
[35] A. Caprara, F. Furini, A. Lodi, M. Mangia, R. Rovatti, and G. Setti,
"Generation of antipodal random vectors with prescribed non-stationary 2-nd order statistics," IEEE Trans. Signal Process., vol. 62, no. 6,
pp. 1603-1612, Mar. 2014. doi: 10.1109/TSP.2014.2302737.
[36] D. E. Bellasi, R. Rovatti, L. Benini, and G. Setti, "A low-power architecture for punctured compressed sensing and estimation in wireless
sensor-nodes," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 62, no. 5,
pp. 1296-1305, May 2015. doi: 10.1109/TCSI.2015.2418833.
[37] F. Pareschi, P. Albertini, G. Frattini, M. Mangia, R. Rovatti, and G.
Setti, "Hardware-algorithms co-design and implementation of an ana-

60

IEEE CIRCUITS AND SYSTEMS MAGAZINE

log-to-information converter for biosignals based on compressed sensing," IEEE Trans. Biomed. Circuits Syst., vol. 10, no. 1, pp. 149-162, Feb.
2016. doi: 10.1109/TBCAS.2015.2444276.
[38] E. van den Berg and M. P. Friedlander, "SPGL1: A solver for largescale sparse reconstruction," June 2007. [Online]. Available: http://
www.cs.ubc.ca/labs/scl/spgl1
[39] S. Rangan, "Generalized approximate message passing for estimation with random linear mixing," in Proc. IEEE Int. Symp. Information
Theory, July 2011, pp. 2168-2172. doi: 10.1109/ISIT.2011.6033942.
[40] I. Daubechies, R. DeVore, M. Fornasier, and C. S. Güntürk, "Iteratively reweighted least squares minimization for sparse recovery," Commun. Pure Appl. Math., vol. 63, no. 1, pp. 1-38, Jan. 2010. doi: 10.1002/
cpa.20303.
[41] S. Ji, Y. Xue, and L. Carin, "Bayesian compressive sensing," IEEE
Trans. Signal Process., vol. 56, no. 6, pp. 2346-2356, June 2008. doi:
10.1109/TSP.2007.914345.
[42] R. G. Baraniuk, V. Cevher, M. F. Duarte, and C. Hegde, "Model-based
compressive sensing," IEEE Trans. Inf. Theory, vol. 56, no. 4, pp. 1982-
2001, Apr. 2010. doi: 10.1109/TIT.2010.2040894.
[43] J. Zhang, Z. Gu, Z. L. Yu, and Y. Li, "Energy-efficient ECG compression on wireless biosensors via minimal coherence sensing and
weighted , 1 minimization reconstruction," IEEE J. Biomed. Health
I n form., vol. 19, no. 2, pp. 520 - 528, Mar. 2015. doi: 10.1109/JBHI
.2014.2312374.
[44] A. Marchioni, M. Mangia, F. Pareschi, R. Rovatti, and G. Setti, "Lowcomplexity greedy algorithm in compressed sensing for the adapted
decoding of ECGs," in Proc. IEEE Biomedical Circuits and Systems Conf.
(BioCAS), 2017, pp. 1-4. doi: 10.1109/BIOCAS.2017.8325143.
[45] P. E. McSharry, G. D. Clifford, L. Tarassenko, and L. A. Smith, "A
dynamical model for generating synthetic electrocardiogram signals,"
IEEE Trans. Biomed. Eng., vol. 50, no. 3, pp. 289-294, Mar. 2003. doi:
10.1109/TBME.2003.808805.
[46] Y. Zigel, A. Cohen, and A. Katz, "The weighted diagnostic distortion
(WDD) measure for ECG signal compression," IEEE Trans. Biomed. Eng.,
vol. 47, no. 11, pp. 1422-1430, Nov. 2000. doi: 10.1109/TBME.2000.880093.
[47] J. Yoo, S. Becker, M. Monge, M. L. Emmanuel Candès, and A. Emami
-Neyestanak, "Design and implementation of a fully integrated compressed-sensing signal acquisition system," in Proc. IEEE Int. Conf.
Acoustics, Speech and Signal Processing (ICASSP), Mar. 2012, pp. 5325-
5328. doi: 10.1109/ICASSP.2012.6289123.
[48] X. Chen et al., "A sub-Nyquist rate compressive sensing data acquisition front-end," IEEE J. Emerg. Sel. Topics Circuits Syst., vol. 2, no. 3,
pp. 542-551, Sept. 2012. doi: 10.1109/JETCAS.2012.2221531.
[49] D. Gangopadhyay, E. G. Allstot, A. M. R. Dixon, K. Natarajan, S. Gupta,
and D. J. Allstot, "Compressed sensing analog front-end for bio-sensor
applications," IEEE J. Solid-State Circuits, vol. 49, no. 2, pp. 426-438, Feb.
2014. doi: 10.1109/JSSC.2013.2284673.
[50] J. Zhang et al., "An efficient and compact compressed sensing microsystem for implantable neural recordings," IEEE Trans. Biomed. Circuits
Syst., vol. 8, no. 4, pp. 485-496, Aug. 2014. doi: 10.1109/TBCAS.2013.2284254.
[51] M. Shoaran, M. H. Kamal, C. Pollo, P. Vandergheynst, and A. Schmid,
"Compact low-power cortical recording architecture for compressive
multichannel data acquisition," IEEE Trans. Biomed. Circuits Syst., vol. 8,
no. 6, pp. 857-870, Dec. 2014. doi: 10.1109/TBCAS.2014.2304582.
[52] A. Wang, F. Lin, Z. Jin, and W. Xu, "Ultra-low power dynamic knob
in adaptive compressed sensing towards biosignal dynamics," IEEE Trans.
Biomed. Circuits Syst., vol. 10, no. 3, pp. 579-592, June 2016. doi: 10.1109/
TBCAS.2015.2497304.
[53] W. Zhao, B. Sun, T. Wu, and Z. Yang, "On-chip neural data compression based on compressed sensing with sparse sensing matrices," IEEE
Trans. Biomed. Circuits Syst., vol. 12, no. 1, pp. 242-254, Feb. 2018. doi:
10.1109/TBCAS.2017.2779503.
[54] J. Haboba, M. Mangia, F. Pareschi, R. Rovatti, and G. Setti, "A pragmatic look at some compressive sensing architectures with saturation
and quantization," IEEE J. Emerg. Sel. Topics Circuits Syst., vol. 2, no. 3,
pp. 443-459, Sept. 2012. doi: 10.1109/JETCAS.2012.2220392.
[55] M. Mangia, F. Pareschi, R. Rovatti, G. Setti, and G. Frattini, "Coping
with saturating projection stages in RMPI-based compressive sensing,"
in Proc. IEEE Int. Symp. Circuits and Systems, May 2012, pp. 2805-2808.
doi: 10.1109/ISCAS.2012.6271893.
[56] J. N. Laska, P. T. Boufounos, M. A. Davenport, and R. G. Baraniuk,
"Democracy in action: Quantization, saturation, and compressive sensing," Appl. Comput. Harmon. Anal., vol. 31, no. 3, pp. 429-443, 2011. doi:
10.1016/j.acha.2011.02.002.
FIRST QUARTER 2020


https://www.cs.ubc.ca/~mpf/spgl1/index.html https://www.cs.ubc.ca/~mpf/spgl1/index.html

IEEE Circuits and Systems Magazine - Q1 2020

Table of Contents for the Digital Edition of IEEE Circuits and Systems Magazine - Q1 2020

Contents
IEEE Circuits and Systems Magazine - Q1 2020 - Cover1
IEEE Circuits and Systems Magazine - Q1 2020 - Cover2
IEEE Circuits and Systems Magazine - Q1 2020 - Contents
IEEE Circuits and Systems Magazine - Q1 2020 - 2
IEEE Circuits and Systems Magazine - Q1 2020 - 3
IEEE Circuits and Systems Magazine - Q1 2020 - 4
IEEE Circuits and Systems Magazine - Q1 2020 - 5
IEEE Circuits and Systems Magazine - Q1 2020 - 6
IEEE Circuits and Systems Magazine - Q1 2020 - 7
IEEE Circuits and Systems Magazine - Q1 2020 - 8
IEEE Circuits and Systems Magazine - Q1 2020 - 9
IEEE Circuits and Systems Magazine - Q1 2020 - 10
IEEE Circuits and Systems Magazine - Q1 2020 - 11
IEEE Circuits and Systems Magazine - Q1 2020 - 12
IEEE Circuits and Systems Magazine - Q1 2020 - 13
IEEE Circuits and Systems Magazine - Q1 2020 - 14
IEEE Circuits and Systems Magazine - Q1 2020 - 15
IEEE Circuits and Systems Magazine - Q1 2020 - 16
IEEE Circuits and Systems Magazine - Q1 2020 - 17
IEEE Circuits and Systems Magazine - Q1 2020 - 18
IEEE Circuits and Systems Magazine - Q1 2020 - 19
IEEE Circuits and Systems Magazine - Q1 2020 - 20
IEEE Circuits and Systems Magazine - Q1 2020 - 21
IEEE Circuits and Systems Magazine - Q1 2020 - 22
IEEE Circuits and Systems Magazine - Q1 2020 - 23
IEEE Circuits and Systems Magazine - Q1 2020 - 24
IEEE Circuits and Systems Magazine - Q1 2020 - 25
IEEE Circuits and Systems Magazine - Q1 2020 - 26
IEEE Circuits and Systems Magazine - Q1 2020 - 27
IEEE Circuits and Systems Magazine - Q1 2020 - 28
IEEE Circuits and Systems Magazine - Q1 2020 - 29
IEEE Circuits and Systems Magazine - Q1 2020 - 30
IEEE Circuits and Systems Magazine - Q1 2020 - 31
IEEE Circuits and Systems Magazine - Q1 2020 - 32
IEEE Circuits and Systems Magazine - Q1 2020 - 33
IEEE Circuits and Systems Magazine - Q1 2020 - 34
IEEE Circuits and Systems Magazine - Q1 2020 - 35
IEEE Circuits and Systems Magazine - Q1 2020 - 36
IEEE Circuits and Systems Magazine - Q1 2020 - 37
IEEE Circuits and Systems Magazine - Q1 2020 - 38
IEEE Circuits and Systems Magazine - Q1 2020 - 39
IEEE Circuits and Systems Magazine - Q1 2020 - 40
IEEE Circuits and Systems Magazine - Q1 2020 - 41
IEEE Circuits and Systems Magazine - Q1 2020 - 42
IEEE Circuits and Systems Magazine - Q1 2020 - 43
IEEE Circuits and Systems Magazine - Q1 2020 - 44
IEEE Circuits and Systems Magazine - Q1 2020 - 45
IEEE Circuits and Systems Magazine - Q1 2020 - 46
IEEE Circuits and Systems Magazine - Q1 2020 - 47
IEEE Circuits and Systems Magazine - Q1 2020 - 48
IEEE Circuits and Systems Magazine - Q1 2020 - 49
IEEE Circuits and Systems Magazine - Q1 2020 - 50
IEEE Circuits and Systems Magazine - Q1 2020 - 51
IEEE Circuits and Systems Magazine - Q1 2020 - 52
IEEE Circuits and Systems Magazine - Q1 2020 - 53
IEEE Circuits and Systems Magazine - Q1 2020 - 54
IEEE Circuits and Systems Magazine - Q1 2020 - 55
IEEE Circuits and Systems Magazine - Q1 2020 - 56
IEEE Circuits and Systems Magazine - Q1 2020 - 57
IEEE Circuits and Systems Magazine - Q1 2020 - 58
IEEE Circuits and Systems Magazine - Q1 2020 - 59
IEEE Circuits and Systems Magazine - Q1 2020 - 60
IEEE Circuits and Systems Magazine - Q1 2020 - Cover3
IEEE Circuits and Systems Magazine - Q1 2020 - Cover4
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2023Q3
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2023Q2
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2023Q1
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2022Q4
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2022Q3
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2022Q2
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2022Q1
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2021Q4
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2021q3
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2021q2
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2021q1
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2020q4
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2020q3
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2020q2
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2020q1
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2019q4
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2019q3
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2019q2
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2019q1
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2018q4
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2018q3
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2018q2
https://www.nxtbook.com/nxtbooks/ieee/circuitsandsystems_2018q1
https://www.nxtbookmedia.com