-
4
-
-
0028445459
-
Stochastic gradient adaptation under general error criteria
-
S. C. Douglas and H. Y. Meng, Stochastic gradient adaptation under general error criteria, IEEE Trans. Signal Process. 42 (1994) 1335-1351.
-
(1994)
IEEE Trans. Signal Process.
, vol.42
, pp. 1335-1351
-
-
Douglas, S.C.1
Meng, H.Y.2
-
5
-
-
0028728699
-
Least mean p-power error criterion for adaptive FIR filter
-
S. C. Pei and C. C. Tseng, Least mean p-power error criterion for adaptive FIR filter, IEEE J. Select. Areas Commun. 12 (1994) 1540-1547.
-
(1994)
IEEE J. Select. Areas Commun.
, vol.12
, pp. 1540-1547
-
-
Pei, S.C.1
Tseng, C.C.2
-
6
-
-
0033114997
-
Adaptive algorithm based on least mean p-power error criterion for Fourier analysis in additive noise
-
Y. Xiao, Y. Tadokoro and K. Shida, Adaptive algorithm based on least mean p-power error criterion for Fourier analysis in additive noise, IEEE Trans. Signal Process. 47 (1999) 1172-1181.
-
(1999)
IEEE Trans. Signal Process.
, vol.47
, pp. 1172-1181
-
-
Xiao, Y.1
Tadokoro, Y.2
Shida, K.3
-
7
-
-
0023327005
-
Improved convergence analysis of stochastic gradient adaptive filters using the sign algorithm
-
V. J. Mathews and S. H. Cho, Improved convergence analysis of stochastic gradient adaptive filter using the sign algorithm, IEEE, Trans. Acoust. Speech, Signal Process. 35 (1987) 450-454. (Pubitemid 17566058)
-
(1987)
IEEE Transactions on Acoustics, Speech, and Signal Processing
, vol.ASSP-35
, Issue.4
, pp. 450-454
-
-
Mathews, V.J.1
Cho, S.H.2
-
8
-
-
0036737108
-
Generalized information potential criterion for adaptive system training
-
D. Erdogmus and J. C. Principe, Generalized information potential criterion for adaptive system training, IEEE Trans. Neural Ntw 13 (2002) 1035-1044.
-
(2002)
IEEE Trans. Neural Ntw
, vol.13
, pp. 1035-1044
-
-
Erdogmus, D.1
Principe, J.C.2
-
10
-
-
0038538359
-
Convergence properties and data efficiency of the minimum error entropy criterion in Adaline training
-
D. Erdogmus and J. C. Principe, Convergence properties and data efficiency of the minimum error entropy criterion in Adaline training, IEEE Trans. Signal Process. 51 (2003) 1966-1978.
-
(2003)
IEEE Trans. Signal Process.
, vol.51
, pp. 1966-1978
-
-
Erdogmus, D.1
Principe, J.C.2
-
14
-
-
0001668641
-
Parametric generalized Gaussian density estimation
-
M. K. Varanasi and B. Aazhang, Parametric generalized Gaussian density estimation, J. Acoust. Soc. Amer. 86 (1989) 1404-1415.
-
(1989)
J. Acoust. Soc. Amer.
, vol.86
, pp. 1404-1415
-
-
Varanasi, M.K.1
Aazhang, B.2
-
15
-
-
0029307221
-
Comparison of generalized Gaussian and Laplacian modeling in DCT image coding
-
R. L. Joshi and T. R. Fisher, Comparison of generalized Gaussian and Laplacian modeling in DCT image coding, IEEE Signal Process. Lett. 2 (1995) 81-82.
-
(1995)
IEEE Signal Process. Lett.
, vol.2
, pp. 81-82
-
-
Joshi, R.L.1
Fisher, T.R.2
-
16
-
-
48249088442
-
Unified parametric and nonparametric ICA algorithms for hybrid source signals and stability analysis
-
F. Wang, H. Li and R. Li, Unified parametric and nonparametric ICA algorithms for hybrid source signals and stability analysis, Int. J. Innovative Comput. Inform. Control 4 (2008) 933-942.
-
(2008)
Int. J. Innovative Comput. Inform. Control
, vol.4
, pp. 933-942
-
-
Wang, F.1
Li, H.2
Li, R.3
-
17
-
-
0029251559
-
Estimation of shape parameter for generalized Gaussian distributions in subband decompositions of video
-
K. Sharifi and A. Leon-Garcia, Estimation of shape parameter for generalized Gaussian distributions in subband decompositions of video, IEEE Trans. Circuits Syst. Video Technol. 5 (1995) 52-56.
-
(1995)
IEEE Trans. Circuits Syst. Video Technol.
, vol.5
, pp. 52-56
-
-
Sharifi, K.1
Leon-Garcia, A.2
-
18
-
-
21744441138
-
Exponent parameter estimation for generalized Gaussian probability density functions with application to speech modeling
-
DOI 10.1016/j.sigpro.2005.02.017, PII S0165168405001118
-
K. Kokkinakis and A. K. Nandi, Exponent parameter estimation for generalized Gaussian probability density functions with application to speech modeling, Signal Process. 85 (2005) 1852-1858. (Pubitemid 40940845)
-
(2005)
Signal Processing
, vol.85
, Issue.9
, pp. 1852-1858
-
-
Kokkinakis, K.1
Nandi, A.K.2
-
20
-
-
11944266539
-
Information theory and statistical mechanics
-
E. T. Jaynes, Information theory and statistical mechanics, Phys. Rev. 106 (1957) 620-630.
-
(1957)
Phys. Rev.
, vol.106
, pp. 620-630
-
-
Jaynes, E.T.1
-
21
-
-
0024700097
-
A theory for multiresolution signal decomposition: The wavelet representation
-
S. Mallat, A theory for multiresolution signal decomposition: The wavelet representation, IEEE Trans. Pattern Anal. Machine Intell. 11 (1989) 674-693.
-
(1989)
IEEE Trans. Pattern Anal. Machine Intell.
, vol.11
, pp. 674-693
-
-
Mallat, S.1
-
23
-
-
75149113421
-
Stochastic gradient algorithm under (h; -)-entropy criterion
-
B. Chen, J. Hu, L. Pu and Z. Sun, Stochastic gradient algorithm under (h; -)-entropy criterion, Circuits Syst. Signal Process. 26 (2007) 941-960.
-
(2007)
Circuits Syst. Signal Process.
, vol.26
, pp. 941-960
-
-
Chen, B.1
Hu, J.2
Pu, L.3
Sun, Z.4
-
24
-
-
77956175555
-
Information theoretic learning with adaptive kernels
-
A. Singh and J. C. Principe, Information theoretic learning with adaptive kernels, Signal Process. 91 (2011) 203-213.
-
(2011)
Signal Process.
, vol.91
, pp. 203-213
-
-
Singh, A.1
Principe, J.C.2
|