Digital Signal Processing Reference
In-Depth Information
50. R. A. Horn and C. R. Johnson, Topics in Matrix Analysis . Cambridge University Press,
New York, NY, (1999).
51. K. Hornik, M. Stinchcombe, and H. White, Multilayer feedforward networks are universal
approximators. Neural Networks , 2:359-366, (1989).
52. A. Hyv¨rinen, One-unit contrast functions for independent component analysis: A statisti-
cal analysis. In Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP) ,
pp. 388-397, Amelia Island, FL, Sept. (1997).
53. A. Hyv¨rinen, Fast and robust fixed-point algorithms for independent component analysis.
IEEE Trans. Neural Networks , 10(3):626-634, (1999).
54. A. Hyv¨rinen, J. Karhunen, and E. Oja, Independent Component Analysis . Wiley,
New York, NY, (2001).
55. J.-J. Jeon, RLS adaptation of widely linear minimum output energy algorithm for
DS-CDMA systems.
In Proc. Adv.
Industrial Conf. on Telecommunications ,
pp. 98-102, (2005).
56. J.-J. Jeon, J. G. Andrews, and K.-M. Sung, The blind widely linear minimum output
energy algorithm for DS-CDMA systems.
IEEE Trans.
Signal Processing ,
54(5):1926-1931, (2006).
57. M. E. Johnson, Computer generation of the exponential power distributions. Journal of
Statistical Computation and Simulation , 9:239-240, (1979).
58. C. Jutten and J. H´rault, Blind separation of sources, Part 1: An adaptive algorithm based
on neuromimetic architecture. Signal Processing , 24(1):1-10, (1991).
59. J. Karvanen, J. Eriksson, and V. Koivunen, Pearson system based method for blind
separation. In Proc. Second Int. Workshop on ICA , Helsinki, Finland, (2000).
60. S. M. Kay, Fundamentals of Statistical Processing, Volume I: Estimation Theory , Prentice
Hall Signal Processing Series, Upper Saddl River, NJ (1993).
61. T. Kim and T. Adalı, Fully complex backpropagation for constant envelope signal proces-
sing. In Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP) ,
pp. 231-239. IEEE, Dec. (2000).
62. T. Kim and T. Adalı, Fully complex multi-layer perceptron network for nonlinear signal
processing. J. VLSI Signal Processing Systems for Signal, Image, and Video Technology ,
32:29-43, (2002).
63. T. Kim and T. Adalı, Approximation by fully complex multilayer perceptrons. Neural
Computation , 15:1641-1666, (2003).
64. K. Kreutz-Delgado, ECE275A: Parameter Estimation I, Lecture Supplement on Complex
Vector Calculus, New York, (2007).
65. L. De Lathauwer and B. De Moor, On the blind separation of non-circular sources. In
Proc. European Signal Process. Conf. (EUSIPCO) , Toulouse, France, (2002).
66. T.-W. Lee, M. Girolami, and T. J. Sejnowski, Independent component analysis using an
extended Infomax algorithm for mixed subgaussian and supergaussian sources. Neural
Computation , 11:417-441, (1999).
67. H. Leung and S. Haykin, The complex backpropagation algorithm. IEEE Trans. Signal
Processing , 39:2101-2104, (1991).
68. H. Li, Complex-Valued Adaptive Signal Processing using Wirtinger Calculus and its
Application to Independent Component Analysis . Ph.D thesis, University of Maryland
Baltimore County, Baltimore, MD, (2008).
 
Search WWH ::




Custom Search