Convex cost functions in blind equalization - Princeton University
Recommend Documents
Feb 7, 2007 - Convex Optimization. A convex optimization problem with variables x: minimize f0(x) subject to fi(x) ⤠0, i = 1, 2,...,m. aT i x = bi, i = 1, 2,...,p.
Feb 7, 2007 - Thanks: Stephen Boyd (some materials and graphs from Boyd and. Vandenberghe) .... Lagrange dual function: g(λ, ν) = infx L(x, λ, ν) .... Strong duality: can price the violations so that there is no arbitrage advantages ...
alles, glaubt alles, hofft alles, hält allem stand. Die Liebe hört niemals auf. 1. ...... lent to a BPSK (binary phase shift keying) signal, given by its pdf pËx (x) = 1. 2.
A. Mismatch and Surplus Energy. We assumed in Section II that the receiver has perfect knowledge of the signature waveform s1 used to modulate the bits of the ...
locked clock and data recovery circuits (CDRs), CDRs based ... the best data sample by relying on a simple comparison with a known pattern. This technique ...
Keywords: HermiteâHadamard type inequality, (α, m)-convex function, ... is valid for all x, y â [0,b] and t â [0,1], then we say that f(x) is m-convex on [0,b].
IT] 5 Aug 2017. Adaptive Blind Sparse-Channel Equalization. Shafayat Abrara. aAssociate Professor. School of Science and Engineering. Habib University ...
Jan 4, 2010 - however, our primary focus will center on convex functions. A sketch ... and we call x a critical point â if and only if x is a minimizer of f . While it ...
2] H. Alzer, A note on Hadamard's inequalities, C.R. Math. Rep. Acad. .... 72] P. M. Vasi c, I. B. Lackovi c and D. M. Maksimovi c, Note on convex functions IV: On-.
Mar 19, 2017 - brated Hadwiger classification theorem establishes a complete ..... (Rn) is dense in Conv(Rn) and use the Moreau-Yosida approximation.
Nov 15, 2017 - 2Department of Mathematics, Longyan University, Longyan, Fujian 364012, China. Correspondence should be addressed to Shan-He Wu; ...
In the paper, the authors introduce a new notion â(s, QC)-convex function on the co- ordinatesâ ...... J Appl Anal Comput 6(1):171â178. doi:10.11948/2016014.
Feb 20, 2013 - Keywords: convex combination; barycenter; convex function; Jensen's inequality; ... to insert the quasi-arithmetic means into this implication.
vex and alpha-convex functions of hyperbolic complex and of dual complex ...... for x = 0, and simple calculations show that a (SU)-Galilean convex function f,.
simplest behaviors, like choosing an apple or a pear in a fruit basket, to the most ... functional organization of the lateral prefrontal cortex underlying cognitive ...
Abstract. The channel matched filter (CMF) is the opti- mum receiver providing the maximum signal to noise ratio. (SNR) for the frequency selective channels.
11-25-2008. Convergence analysis of blind equalization algorithms using constellation-matching. Lin He. Broadcom Corp. Saleem A. Kassam. Univerisity of ...
David S. Millar and Seb J. Savory. Optical Networks Group, Department of Electronic and Electrical Engineering, University College London (UCL),. Torrington ...
[4], an equalization concept for the Enhanced Data rates for. GSM Evolution (EDGE) is described, considering subopti- mum receivers based on delayed ...
Designing Defense for a New World Order: The Military Budget in 1992 and Beyond. Cato Institute, Washington, D.C.. Stigl
Energy security. National security. a b s t r a c t. This paper presents the first estimate of United States military co
This paper presents the first estimate of United States military cost for Persian Gulf force (CPGfp) derived entirely by
PRINCETON UNIVERSITY, PRINCETON, NEW JERSEY. PPPL-3647. PPPL-3647. UC-70. Industrial Hygiene Concerns during the Decontamination.
Convex cost functions in blind equalization - Princeton University
vex cost functions and stochastic gradient descent suffer from lack of global ... The motivation for studying this problem is that in manyâ communications ...... He received the Ph.D. degree in December 1988 from the Department of. Systems ...