-
1
-
-
84903766882
-
Robust zero-point attraction LMS algorithm on near sparse system identificatio
-
Jin, J., Qing, Q., Yuantao, G.: Robust zero-point attraction LMS algorithm on near sparse system identificatio. IET Signal Process. 7(3), 210–218 (2013)
-
(2013)
IET Signal Process.
, vol.7
, Issue.3
, pp. 210-218
-
-
Jin, J.1
Qing, Q.2
Yuantao, G.3
-
2
-
-
17344382712
-
Normalized natural gradient adaptive filtering for sparse and non-sparse systems
-
Orlando: Florida
-
Gay, S.L., Douglas, S.C.: Normalized natural gradient adaptive filtering for sparse and non-sparse systems. In: IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP2002), pp. 1405–1408. Orlando, Florida (March 2002)
-
(2002)
IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP2002)
, pp. 1405-1408
-
-
Gay, S.L.1
Douglas, S.C.2
-
4
-
-
84874985849
-
Non-uniform norm constraint LMS algorithm for sparse system identification
-
Wu, F.Y., Tong, F.: Non-uniform norm constraint LMS algorithm for sparse system identification. IEEE Commun. Lett. 17(2), 385–388 (February 2013)
-
(2013)
IEEE Commun. Lett
, vol.17
, Issue.2
, pp. 385-388
-
-
Wu, F.Y.1
Tong, F.2
-
5
-
-
70349216427
-
Sparse LMS for system identification. IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP2009)
-
Taipei, Taiwan
-
Chen, Y., Gu, Y., Hero, A.O.: Sparse LMS for system identification. IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP2009), pp. 3125–3128. Taipei, Taiwan (April 2009)
-
(2009)
pp
, vol.3125-3128
-
-
Chen, Y.1
Gu, Y.2
Hero, A.O.3
-
6
-
-
51449119381
-
Frequency domain selective tap adaptive algorithm for sparse system identification
-
Las Vegas, Nevada
-
Khong, A.W.H., Xiang, L., Doroslovacki, M., Naylor, P.A.: Frequency domain selective tap adaptive algorithm for sparse system identification. In: IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP2008), pp. 229–232. Las Vegas, Nevada, (March 2008)
-
(2008)
IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP2008)
, pp. 229-232
-
-
Khong, A.W.H.1
Xiang, L.2
Doroslovacki, M.3
Naylor, P.A.4
-
7
-
-
84881591077
-
Improved adaptive sparse channel estimation based on the least mean square algorithm. In
-
Gui, G., Peng, W., Adachi, F.: Improved adaptive sparse channel estimation based on the least mean square algorithm. In IEEE Wireless Communications and Networking Conference (WCNC), pp. 3130–3134. Shanghai, China, (April 7–10 2013)
-
(2013)
IEEE Wireless Communications and Networking Conference (WCNC), pp. 3130–3134. Shanghai, China, (April
, pp. 7-10
-
-
Gui, G.1
Peng, W.2
Adachi, F.3
-
8
-
-
84899084830
-
Improved adaptive sparse channel estimation using least mean square algorithm
-
Gui, G., Adachi, F.: Improved adaptive sparse channel estimation using least mean square algorithm. EURASIP J. Wirel. Commun. Netw. 204(1), 1–18 (2013)
-
(2013)
EURASIP J. Wirel. Commun. Netw.
, vol.204
, Issue.1
, pp. 1-18
-
-
Gui, G.1
Adachi, F.2
-
10
-
-
0029206554
-
Improved LMS estimation via structural detection
-
Whistler, British Columbia (September
-
Homer, J., Mareels, I., Bitmead, R.R., Wahlberg, B., Gustafsson, A.: Improved LMS estimation via structural detection. In: Proceedings of IEEE International Symposium on Information Theory, Whistler, British Columbia (September 1995)
-
Proceedings of IEEE International Symposium on Information Theory
, pp. 1995
-
-
Homer, J.1
Mareels, I.2
Bitmead, R.R.3
Wahlberg, B.4
Gustafsson, A.5
-
13
-
-
0034274237
-
Proportionate normalised least mean square adaptation in Echo cancelers
-
Duttweiler, D.L.: Proportionate normalised least mean square adaptation in Echo cancelers. IEEE Trans. Speech Audio Process. 8(5), 508–518 (2000)
-
(2000)
IEEE Trans. Speech Audio Process.
, vol.8
, Issue.5
, pp. 508-518
-
-
Duttweiler, D.L.1
-
14
-
-
77949691635
-
l0-norm constraint LMS for sparse system identification
-
Gu, Y., Jin, J., Mei, S.: $$l_0$$l0-norm constraint LMS for sparse system identification. IEEE Signal Process. Lett. 16(9), 774–777 (2009)
-
(2009)
IEEE Signal Process. Lett.
, vol.16
, Issue.9
, pp. 774-777
-
-
Gu, Y.1
Jin, J.2
Mei, S.3
-
15
-
-
84859976621
-
Performance analysis of l0-norm constraint least mean square algorithm
-
Su, G., Jin, J., Gu, Y., Wang, J.: Performance analysis of $$l_0$$l0-norm constraint least mean square algorithm. IEEE Trans. Signal Process. 60(5), 2223–2235 (2012)
-
(2012)
IEEE Trans. Signal Process.
, vol.60
, Issue.5
, pp. 2223-2235
-
-
Su, G.1
Jin, J.2
Gu, Y.3
Wang, J.4
-
16
-
-
0022559461
-
A variable step (VS) adaptive filter algorithm
-
Harris, R.W., Chabries, D.M., Bishop, F.A.: A variable step (VS) adaptive filter algorithm. IEEE Trans. Acoust. Speech Signal Process. 34(2), 309–316 (April 1986)
-
(1986)
IEEE Trans. Acoust. Speech Signal Process
, vol.34
, Issue.2
, pp. 309-316
-
-
Harris, R.W.1
Chabries, D.M.2
Bishop, F.A.3
-
17
-
-
0026896422
-
A variable step-size LMS algorithm
-
Kwong, R.H., Johnson, E.W.: A variable step-size LMS algorithm. IEEE Trans. Signal Process. 40(7), 1633–1642 (July 1992)
-
(1992)
IEEE Trans. Signal Process
, vol.40
, Issue.7
, pp. 1633-1642
-
-
Kwong, R.H.1
Johnson, E.W.2
-
19
-
-
84874037600
-
A zero-attracting variable step-size LMS algorithm for sparse system identification
-
Bosnia and Herzegovina, October, Sarajevo
-
Salman, M.S., Jahromi, M.S.N., Hokanin, A., Kukrer, O.: A zero-attracting variable step-size LMS algorithm for sparse system identification. In: IX International Symposium on Telecommunications (BIHTEL2012), pp. 1–4. Bosnia and Herzegovina, October, Sarajevo (2012)
-
(2012)
IX International Symposium on Telecommunications (BIHTEL2012)
, pp. 1-4
-
-
Salman, M.S.1
Jahromi, M.S.N.2
Hokanin, A.3
Kukrer, O.4
-
20
-
-
84940458180
-
-
Van Nostrand, Princeton, NJ
-
Kenney, J.F., Keeping, E.S.: Kurtosis. In Mathematics of statistics, Pt. 1, 3rd ed, pp. 102–103. Van Nostrand, Princeton, NJ (1962)
-
(1962)
Kurtosis. In Mathematics of statistics, Pt. 1, 3rd ed, pp. 102–103
-
-
Kenney, J.F.1
Keeping, E.S.2
-
21
-
-
0003807773
-
-
Prentice Hall, Upper Saddle River, NJ
-
Haykin, S.: Adaptive Filter Theory. Prentice Hall, Upper Saddle River, NJ (2002)
-
(2002)
Adaptive Filter Theory
-
-
Haykin, S.1
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