Nonexpansive Mappings in Hilbert Spaces. Jintana Joomwong. Division of Mathematics , Faculty of Science. Maejo University, Chiang Mai, Thailand, 50290.
receiver oriented iterative (turbo) clipping mitigation methods, the so-called Bussgang Noise Cancellation. (BNC). We show that with small modifications to.
One solution for compensating for the lower torque is the use of a suitable, high-performance charging system in conjunc
It is well-known that good initializations can improve the speed and accuracy of .... k approximations, Ak is the best approximation in the sense that A â Ak F is ..... collection of business newswire posts. ... are also available at the website ab
Jun 6, 2018 - social science, medical science, and policy making, we often en- counter situations where ... problem, is an NP-hard problem (Bartholdi et al., 1989). With the work of Cohen ...... Histoire de l'Academie. Royale des Sciences .
It is well-known that good initializations can improve the speed and accuracy of the solutions of ..... Both algorithms are modifications to the simple Alternating Least Squares (ALS) algorithm ..... are also available at the website above). .... bui
Jan 27, 2017 - NA] 27 Jan 2017. Convergence rates for Kaczmarz-type algorithms. CONSTANTIN POPA. Ovidius University of Constanta, Blvd. Mamaia 124, ...
Thomas L. Magnanti ... the orthogonality theorem, for establishing the convergence of several ... The basic condition in this theorem is that the algorithm map is a ...
Dec 10, 2014 - Convergence and rate of convergence of some greedy algorithms in convex optimization. V.N. Temlyakov â. December 11, 2014. Abstract.
Dec 10, 2014 - The following simple lemma holds. Lemma 2.1. Let E be Fréchet differentiable convex function. Then the following inequality holds for x ∈ S.
world impairments, such as frequency and timing offsets, due to high spectral ... Such a system can be efficiently imple
Dedieu and Kim [2] studied the convergence properties of Newton's iteration for analytic systems of equations with constant rank derivatives. They considered an ...
We consider in the following the nonlinear programming problem. (1) inf{f(x) | x â X}, f : Rn â R, f â C1(Rn). Let be a map E : X â R, X â Rn. Every x â X we ...
Whether we call it belief ..... German Aerospace Research Center DLR and since ... was corecipient (with J. Louveaux and F. Deryck) of the Biennal Siemens.
article is to introduce a technique to optimize the interleaving matrix in ... A decoding engine was built to show the benefit of improving ... 3.1 The Search Space.
Abstract. Since the appearance in 1993, first approaching the. Shannon limit, the Turbo Codes gave a new direction for the channel encoding field, especially ...
Different floating-point and fixed-point implementa- tion issues of the Log-MAP algorithm for decoding turbo codes are studied. A theoretical framework.
Nov 13, 2009 - Dian-Wu Yue's work was also supported by the National. Natural Science Foundation of China under grant. 60672037, the Research Fund for ...
Abstract- This paper deals with the convergence loss reduction of a 3-dimensional turbo code combining both parallel and serial concatenation. This code is ...
CONSENSUS FOR RANDOM GOSSIP. ALGORITHMS. Consider a finite set of nodes representing say wireless sensors or dis- tributed computing units, can ...
10 Nov 2018 - for stochastic problems arising in machine learning such bound ..... Algorithm 2 gives the pseudo code corresponding to recursion (10) with ..... ijcnn1 (n = 91,701 training data) and covtype (n = 406,709 training data) from the.
Jan 9, 2018 - non-convex optimization associated with neural networks. ..... The graph comparing convergence of the three algorithms is shown on the left side of Fig. 2. ... 3https://github.com/tensorflow/models/tree/master/official/resnet. 8 ...
all Eb=N0. Index TermsâBit-error rate (BER) estimate, convergence, finite- length turbo codes, iterative decoding, signal-to-noise ratio (SNR) ...... [6] A. M. Viterbi and A. J. Viterbi, âImproved union bound for binary linear codes on the AWGN .
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