IEEE Signal Processing - May 2018 - 96
[9] S. Baillet, J. C. Mosher, and R. M. Leahy, "Electromagnetic brain mapping," IEEE
Signal Process. Mag., vol. 18, pp. 14-30, Nov. 2001.
[10] A. Gramfort, T. Papadopoulo, E. Olivi, and M. Clerc, "OpenMEEG: Opensource
software for quasistatic bioelectromagnetics," Biomed. Eng. Online, vol. 9, pp. 45,
Sept. 2010.
[11] M. Hassan, L. Chaton, P. Benquet, A. Delval, C. Leroy, L. Plomhaus, A. J. Moonen,
A. A. Duits, A. F. Leentjens, V. van Kranen-Mastenbroek, L. Defebvre, P. Derambure,
F. Wendling, and K. Dujardin, "Functional connectivity disruptions correlate with
cognitive phenotypes in Parkinson's disease," NeuroImage: Clinical, vol. 14, pp. 591-
601, Mar. 2017.
[33] R. M. Hutchison, T. Womelsdorf, E. A. Allen, P. A. Bandettini, V. D. Calhoun,
M. Corbetta, S. Della Penna, J. H. Duyn, G. H. Glover, J. Gonzalez-Castillo, D. A.
Handwerker, S. Keilholz, V. Kiviniemi, D. A. Leopold, F. de Pasquale, O. Sporns,
M. Walter, and C. Chang, "Dynamic functional connectivity: Promise, issues, and
interpretations," NeuroImage, vol. 80, pp. 360-378, Oct. 2013.
[34] G. C. O'Neill, P. K. Tewarie, G. L. Colclough, L. E. Gascoyne, B. A. Hunt, P.
G. Morris, M. W. Woolrich, and M. J. Brookes, "Measurement of dynamic task
related functional networks using MEG," NeuroImage, vol. 146, Feb. 2017.
[35] M. Hassan, M. Shamas, M. Khalil, W. El Falou, and F. Wendling, "EEGNET:
An open source tool for analyzing and visualizing M/EEG connectome," PLOS
ONE, vol. 10, no. 9, 2015. doi: 10.1371/journal.pone.0138297.
[12] B. He, L. Yang, C. Wilke, and H. Yuan, "Electrophysiological imaging of brain
activity and connectivity: Challenges and opportunities," IEEE Trans. Biomed.
Eng., vol. 58, pp. 1918-1931, July 2011.
[36] J. Engel, Jr., P. M. Thompson, J. M. Stern, R. J. Staba, A. Bragin, and I. Mody,
"Connectomics and epilepsy," Current Opinion Neurol., vol. 26, pp. 186, 2013.
[13] J. Song, C. Davey, C. Poulsen, P. Luu, S. Turovets, E. Anderson, et al. "EEG
source localization: Sensor density and head surface coverage," J. Neurosci.
Methods, vol. 256, pp. 9-21, Dec. 2015.
[37] M. Pievani, W. de Haan, T. Wu, W. W. Seeley, and G. B. Frisoni, "Functional
network disruption in the degenerative dementias," Lancet Neurol., vol. 10, pp.
829-843, Sept. 2011.
[14] M. Hassan, O. Dufor, I. Merlet, C. Berrou, and F. Wendling, "EEG source connectivity analysis: From dense array recordings to brain networks," PLOS ONE, vol.
9, Aug. 2014. doi: 10.1371/journal.pone.0105041.
[38] M. Hassan, I. Merlet, A. Mheich, A. Kabbara, A. Biraben, A. Nica, and F.
Wendling, "Identification of interictal epileptic networks from dense-EEG," Brain
Topog., vol. 30, pp. 60-76, Jan. 2017.
[15] P. He, G. Wilson, and C. Russell, "Removal of ocular artifacts from electroencephalogram by adaptive filtering," Med. Biol. Eng. Comput., vol. 42, pp. 407-412,
May 2004.
[39] A. Mheich, M. Hassan, M. Khalil, C. Berrou, and F. Wendling, "A new algorithm for spatiotemporal analysis of brain functional connectivity," J. Neurosci.
Methods, vol. 242, pp. 77-81, Mar. 15, 2015.
[16] D. Safieddine, A. Kachenoura, L. Albera, G. Birot, A. Karfoul, A. Pasnicu,
A. Biraben, F. Wendling, L. Senhadji, and I. Merlet, "Removal of muscle artifact
from EEG data: Comparison between stochastic (ICA and CCA) and deterministic
(EMD and wavelet-based) approaches," EURASIP J. Advances Signal Process.,
2012. doi: 10.1186/1687-6180-2012-127.
[40] L. Ding, G. A. Worrell, T. D. Lagerlund, and B. He, "Ictal source analysis:
Localization and imaging of causal interactions in humans," NeuroImage, vol. 34,
pp. 575-586, Jan. 2007.
[17] W. De Clercq, A. Vergult, B. Vanrumste, W. Van Paesschen, and S. Van
Huffel, "Canonical correlation analysis applied to remove muscle artifacts from
the electroencephalogram," IEEE Trans. Biomed. Eng., vol. 53, pp. 2583-2587,
Dec. 2006.
[18] F.-H. Lin, T. Witzel, S. P. Ahlfors, S. M. Stufflebeam, J. W. Belliveau, and
M. S. Hämäläinen, "Assessing and improving the spatial accuracy in MEG source
localization by depth-weighted minimum-norm estimates," NeuroImage, vol. 31,
pp. 160-171, May 2006.
[19] B. D. Van Veen, W. Van Drongelen, M. Yuchtman, and A. Suzuki, "Localization of brain electrical activity via linearly constrained minimum variance spatial
filtering," IEEE Trans. Biomed. Eng., vol. 44, pp. 867-880, Sept. 1997.
[20] R. S. Desikan, F. Ségonne, B. Fischl, B. T. Quinn, B. C. Dickerson, D. Blacker,
R. L. Buckner, A. M. Dale, R. P. Maguire, and B. T. Hyman, "An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based
regions of interest," NeuroImage, vol. 31, pp. 968-980, July 2006.
[21] K. J. Friston, "Functional and effective connectivity: A review," Brain Connectivity,
vol. 1, pp. 13-36, June 2011.
[22] E. Pereda, R. Q. Quiroga, and J. Bhattacharya, "Nonlinear multivariate analysis of neurophysiological signals," Progress Neurobiol., vol. 77, pp. 1-37, Sept.-
Oct. 2005.
[23] F. Wendling, K. Ansari-Asl, F. Bartolomei, and L. Senhadji, "From EEG signals to brain connectivity: A model-based evaluation of interdependence measures,"
J. Neurosci. Methods, vol. 183, pp. 9-18, Sept. 2009.
[24] J.-P. Lachaux, E. Rodriguez, M. Le van Quyen, A. Lutz, J. Martinerie, and F.
J. Varela, "Studying single-trials of phase synchronous activity in the brain," Int. J.
Bifurcation Chaos, vol. 10, pp. 2429-2439, 2000.
[25] C. J. Stam, G. Nolte, and A. Daffertshofer, "Phase lag index: Assessment of
functional connectivity from multi channel EEG and MEG with diminished bias
from common sources," Human Brain Mapping, vol. 28, pp. 1178-1193, Nov. 2007.
[26] M. J. Brookes, M. W. Woolrich, and G. R. Barnes, "Measuring functional connectivity in MEG: A multivariate approach insensitive to linear source leakage,"
NeuroImage, vol. 63, pp. 910-920, Nov. 2012.
[27] R. Kus, M. Kaminski, and K. J. Blinowska, "Determination of EEG activity
propagation: Pair-wise versus multichannel estimate," IEEE Trans. Biomed. Eng.,
vol. 51, pp. 1501-1510, Sept. 2004.
[28] F. Wendling, F. Bartolomei, J. Bellanger, and P. Chauvel, "Interpretation of
interdependencies in epileptic signals using a macroscopic physiological model of
the EEG," Clinical Neurophysiol., vol. 112, pp. 1201-1218, Mar. 2001.
[29] R. Vicente, M. Wibral, M. Lindner, and G. Pipa, "Transfer entropy: A modelfree measure of effective connectivity for the neurosciences," J. Computational
Neurosci., vol. 30, pp. 45-67, Feb. 2011.
[30] K. J. Friston, L. Harrison, and W. Penny, "Dynamic causal modelling," NeuroImage,
vol. 19, pp. 1273-1302, Aug. 2003.
[31] A. Fornito, A. Zalesky, and E. Bullmore, Fundamentals of Brain Network
Analysis. New York: Academic, 2016.
[32] P. J. Mucha, T. Richardson, K. Macon, M. A. Porter, and J.-P. Onnela,
"Community structure in time-dependent, multiscale, and multiplex networks,"
Science, vol. 328, pp. 876-878, May 2010.
96
[41] Y. Lu, L. Yang, G. A. Worrell, and B. He, "Seizure source imaging by means of
FINE spatio-temporal dipole localization and directed transfer function in partial
epilepsy patients," Clinical Neurophysiol., vol. 123, pp. 1275-1283, July 2012.
[42] F. Vecchio, F. Miraglia, G. Curcio, G. Della Marca, C. Vollono, E. Mazzucchi,
P. Bramanti, and P. M. Rossini, "Cortical connectivity in fronto-temporal focal epilepsy from EEG analysis: A study via graph theory," Clinical Neurophysiol., vol.
126, pp. 1108-1116, June 2015.
[43] A. Coito, G. Plomp, M. Genetti, E. Abela, R. Wiest, M. Seeck, C. M. Michel,
and S. Vulliemoz, "Dynamic directed interictal connectivity in left and right temporal lobe epilepsy," Epilepsia, vol. 56, pp. 207-217, Feb. 2015.
[44] G. Di Lorenzo, A. Daverio, F. Ferrentino, E. Santarnecchi, F. Ciabattini, L.
Monaco, G. Lisi, Y. Barone, C. Di Lorenzo, C. Niolu, S. Seri, and A. Siracusano,
"Altered resting-state EEG source functional connectivity in schizophrenia: The
effect of illness duration," Frontiers Human Neurosci., vol. 9, p. 234, May 2015.
[45] A. F. Leuchter, I. A. Cook, A. M. Hunter, C. Cai, and S. Horvath, "Restingstate quantitative electroencephalography reveals increased neurophysiologic
connectivity in depression," PLOS ONE, vol. 7, 2012. doi: 10.1371/journal
.pone.0032508.
[46] D. Lelic, S. S. Olesen, M. Valeriani, and A. M. Drewes, "Brain source connectivity reveals the visceral pain network," NeuroImage, vol. 60, pp. 37-46, Mar.
2012.
[47] S. Velikova, M. Locatelli, C. Insacco, E. Smeraldi, G. Comi, and L. Leocani,
"Dysfunctional brain circuitry in obsessive-compulsive disorder: Source and coherence analysis of EEG rhythms," NeuroImage, vol. 49, pp. 977-983, Jan. 2010.
[48] D. M. Herz, H. R. Siebner, O. J. Hulme, E. Florin, M. S. Christensen, and L.
Timmermann, "Levodopa reinstates connectivity from prefrontal to premotor cortex
during externally paced movement in Parkinson's disease," NeuroImage, vol. 90, pp.
15-23, Apr. 2014.
[49] K. T. O. Dubbelink, A. Hillebrand, D. Stoffers, J. B. Deijen, J. W. Twisk, C. J.
Stam, and H. W. Berendse, "Disrupted brain network topology in Parkinson's disease: A longitudinal magnetoencephalography study," Brain, vol. 137, pp. 197-207,
Jan. 2014.
[50] S. Achard and E. Bullmore, "Efficiency and cost of economical brain functional networks," PLOS Comput. Biol., vol. 3, 2007. doi: 10.1371/journal.pcbi.0030017.
[51] C. J. Stam, "Modern network science of neurological disorders," Nature Rev.
Neurosci., vol. 15, pp. 683-695, Oct. 2014.
[52] U. Malinowska, J. M. Badier, M. Gavaret, F. Bartolomei, P. Chauvel, and C.
G. Bénar, "Interictal networks in magnetoencephalography," Human Brain
Mapping, vol. 35, pp. 2789-2805, June 2014.
[53] G. Colclough, M. Brookes, S. Smith, and M. Woolrich, "A symmetric multivariate leakage correction for MEG connectomes," NeuroImage, vol. 117, pp. 439-
448, Aug. 2015.
[54] R. D. Pascual-Marqui, R. J. Biscay, J. Bosch-Bayard, P. Faber, T. Kinoshita,
K. Kochi, P. Milz, K. Nishida, and M. Yoshimura. (2017). Innovations orthogonalization: A solution to the major pitfalls of EEG/MEG "leakage correction." arXiv.
[Online]. Available: https://arxiv.org/abs/1708.05931
[55] K. Mahjoory, V. V. Nikulin, L. Botrel, K. Linkenkaer-Hansen, M. M. Fato,
and S. Haufe, "Consistency of EEG source localization and connectivity estimates,"
NeuroImage, vol. 152, pp. 590-601, May 2017.
IEEE Signal Processing Magazine
SP
|
May 2018
|
https://www.arxiv.org/abs/1708.05931
Table of Contents for the Digital Edition of IEEE Signal Processing - May 2018
Contents
IEEE Signal Processing - May 2018 - Cover1
IEEE Signal Processing - May 2018 - Cover2
IEEE Signal Processing - May 2018 - Contents
IEEE Signal Processing - May 2018 - 2
IEEE Signal Processing - May 2018 - 3
IEEE Signal Processing - May 2018 - 4
IEEE Signal Processing - May 2018 - 5
IEEE Signal Processing - May 2018 - 6
IEEE Signal Processing - May 2018 - 7
IEEE Signal Processing - May 2018 - 8
IEEE Signal Processing - May 2018 - 9
IEEE Signal Processing - May 2018 - 10
IEEE Signal Processing - May 2018 - 11
IEEE Signal Processing - May 2018 - 12
IEEE Signal Processing - May 2018 - 13
IEEE Signal Processing - May 2018 - 14
IEEE Signal Processing - May 2018 - 15
IEEE Signal Processing - May 2018 - 16
IEEE Signal Processing - May 2018 - 17
IEEE Signal Processing - May 2018 - 18
IEEE Signal Processing - May 2018 - 19
IEEE Signal Processing - May 2018 - 20
IEEE Signal Processing - May 2018 - 21
IEEE Signal Processing - May 2018 - 22
IEEE Signal Processing - May 2018 - 23
IEEE Signal Processing - May 2018 - 24
IEEE Signal Processing - May 2018 - 25
IEEE Signal Processing - May 2018 - 26
IEEE Signal Processing - May 2018 - 27
IEEE Signal Processing - May 2018 - 28
IEEE Signal Processing - May 2018 - 29
IEEE Signal Processing - May 2018 - 30
IEEE Signal Processing - May 2018 - 31
IEEE Signal Processing - May 2018 - 32
IEEE Signal Processing - May 2018 - 33
IEEE Signal Processing - May 2018 - 34
IEEE Signal Processing - May 2018 - 35
IEEE Signal Processing - May 2018 - 36
IEEE Signal Processing - May 2018 - 37
IEEE Signal Processing - May 2018 - 38
IEEE Signal Processing - May 2018 - 39
IEEE Signal Processing - May 2018 - 40
IEEE Signal Processing - May 2018 - 41
IEEE Signal Processing - May 2018 - 42
IEEE Signal Processing - May 2018 - 43
IEEE Signal Processing - May 2018 - 44
IEEE Signal Processing - May 2018 - 45
IEEE Signal Processing - May 2018 - 46
IEEE Signal Processing - May 2018 - 47
IEEE Signal Processing - May 2018 - 48
IEEE Signal Processing - May 2018 - 49
IEEE Signal Processing - May 2018 - 50
IEEE Signal Processing - May 2018 - 51
IEEE Signal Processing - May 2018 - 52
IEEE Signal Processing - May 2018 - 53
IEEE Signal Processing - May 2018 - 54
IEEE Signal Processing - May 2018 - 55
IEEE Signal Processing - May 2018 - 56
IEEE Signal Processing - May 2018 - 57
IEEE Signal Processing - May 2018 - 58
IEEE Signal Processing - May 2018 - 59
IEEE Signal Processing - May 2018 - 60
IEEE Signal Processing - May 2018 - 61
IEEE Signal Processing - May 2018 - 62
IEEE Signal Processing - May 2018 - 63
IEEE Signal Processing - May 2018 - 64
IEEE Signal Processing - May 2018 - 65
IEEE Signal Processing - May 2018 - 66
IEEE Signal Processing - May 2018 - 67
IEEE Signal Processing - May 2018 - 68
IEEE Signal Processing - May 2018 - 69
IEEE Signal Processing - May 2018 - 70
IEEE Signal Processing - May 2018 - 71
IEEE Signal Processing - May 2018 - 72
IEEE Signal Processing - May 2018 - 73
IEEE Signal Processing - May 2018 - 74
IEEE Signal Processing - May 2018 - 75
IEEE Signal Processing - May 2018 - 76
IEEE Signal Processing - May 2018 - 77
IEEE Signal Processing - May 2018 - 78
IEEE Signal Processing - May 2018 - 79
IEEE Signal Processing - May 2018 - 80
IEEE Signal Processing - May 2018 - 81
IEEE Signal Processing - May 2018 - 82
IEEE Signal Processing - May 2018 - 83
IEEE Signal Processing - May 2018 - 84
IEEE Signal Processing - May 2018 - 85
IEEE Signal Processing - May 2018 - 86
IEEE Signal Processing - May 2018 - 87
IEEE Signal Processing - May 2018 - 88
IEEE Signal Processing - May 2018 - 89
IEEE Signal Processing - May 2018 - 90
IEEE Signal Processing - May 2018 - 91
IEEE Signal Processing - May 2018 - 92
IEEE Signal Processing - May 2018 - 93
IEEE Signal Processing - May 2018 - 94
IEEE Signal Processing - May 2018 - 95
IEEE Signal Processing - May 2018 - 96
IEEE Signal Processing - May 2018 - 97
IEEE Signal Processing - May 2018 - 98
IEEE Signal Processing - May 2018 - 99
IEEE Signal Processing - May 2018 - 100
IEEE Signal Processing - May 2018 - 101
IEEE Signal Processing - May 2018 - 102
IEEE Signal Processing - May 2018 - 103
IEEE Signal Processing - May 2018 - 104
IEEE Signal Processing - May 2018 - 105
IEEE Signal Processing - May 2018 - 106
IEEE Signal Processing - May 2018 - 107
IEEE Signal Processing - May 2018 - 108
IEEE Signal Processing - May 2018 - 109
IEEE Signal Processing - May 2018 - 110
IEEE Signal Processing - May 2018 - 111
IEEE Signal Processing - May 2018 - 112
IEEE Signal Processing - May 2018 - 113
IEEE Signal Processing - May 2018 - 114
IEEE Signal Processing - May 2018 - 115
IEEE Signal Processing - May 2018 - 116
IEEE Signal Processing - May 2018 - 117
IEEE Signal Processing - May 2018 - 118
IEEE Signal Processing - May 2018 - 119
IEEE Signal Processing - May 2018 - 120
IEEE Signal Processing - May 2018 - 121
IEEE Signal Processing - May 2018 - 122
IEEE Signal Processing - May 2018 - 123
IEEE Signal Processing - May 2018 - 124
IEEE Signal Processing - May 2018 - 125
IEEE Signal Processing - May 2018 - 126
IEEE Signal Processing - May 2018 - 127
IEEE Signal Processing - May 2018 - 128
IEEE Signal Processing - May 2018 - 129
IEEE Signal Processing - May 2018 - 130
IEEE Signal Processing - May 2018 - 131
IEEE Signal Processing - May 2018 - 132
IEEE Signal Processing - May 2018 - Cover3
IEEE Signal Processing - May 2018 - Cover4
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201809
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201807
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201805
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201803
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201801
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1117
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0917
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0717
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0517
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0317
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0117
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1116
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0916
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0716
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0516
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0316
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0116
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1115
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0915
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0715
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0515
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0315
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0115
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1114
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0914
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0714
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0514
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0314
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0114
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1113
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0913
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0713
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0513
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0313
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0113
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1112
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0912
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0712
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0512
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0312
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0112
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1111
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0911
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0711
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0511
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0311
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0111
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1110
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0910
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0710
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0510
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0310
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0110
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1109
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0909
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0709
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0509
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0309
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0109
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1108
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0908
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0708
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0508
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0308
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0108
https://www.nxtbookmedia.com