We consider stochastic processes fX(t; ) : t 2 Tg with continuous parameter t 2 T = [0;1[. These processes are so called generalized supermartingales, where the generalization comes from a modification of the right side of the supermartingale inequality. The assumptions on the process and the probability space are the same as for the classical convergence theorem of DOOB (see KOPP [2]). The aim...

Optimized Schwarz methods are a new class of Schwarz methods with greatly enhanced convergence properties. They converge uniformly faster than classical Schwarz methods and their convergence rates dare asymptotically much better than the convergence rates of classical Schwarz methods if the overlap is of the order of the mesh parameter, which is often the case in practical applications. They ac...

Stereo echo cancellation requires a fast converging adaptive algorithm because the stereo input signals are highly cross correlated and the convergence rate of the misalignment is slow even after preprocessing for unique identification of stereo echo paths. To speed up the convergence, we propose enhancing the contribution of the decorrelated components in the preprocessed input-signal vector t...

We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) with the least squares temporal difference (LSTD) algorithm, LSTD(λ), in an exploration-enhanced learning context, where policy costs are computed from observations of a Markov chain different from the one corresponding to the policy under evaluation. We establish for the discounted cost criter...

in this paper, we discuss the equivalent conditions of pretopological and topological $l$-fuzzy q-convergence structures and define $t_{0},~t_{1},~t_{2}$-separation axioms in $l$-fuzzy q-convergence space. {furthermore, $l$-ordered q-convergence structure is introduced and its relation with $l$-fuzzy q-convergence structure is studied in a categorical sense}.

Convergence hypothesis is one of the results of neoclassical growth model, which has been examined recently. This hypothesis has two forms of absolute and conditional Beta-convergence and implies that regions with lower per capita output have higher per capita growth rates. Since there is no data for regional GDP in Iran, there has been n study to test convergence hypothesis in Iran. Our main c...

abstract in this paper we test two versions of convergence hypothesis namely deterministic or conditional convergence and stochastic or catching up hypothesis using carrion-i-silvestre et al. (2005) stationary test. the results show latin and south american countries (lsa) catching up process toward the usa failed in 1980s and somewhat in 1990s. but in 2000s most of them could lie in convergenc...

IQ imbalance is a serious RF front-end impairment and in this work, we study the issue of IQ imbalance correction using a combination of iterative and adaptive signal processing techniques. First, we propose an estimator based on EM algorithm for the case of a Bit Interleaved Coded modulation Iterative Detection (BICM-ID) receiver for burst mode communications. The resulting TURBO IQ Decorrelat...

The concept of ${mathscr{F}}_{st}$-fundamentality is introduced in uniform spaces, generated by some filter ${mathscr{F}}$. Its equivalence to the concept of ${mathscr{F}}$-convergence in uniform spaces is proved. This convergence generalizes many kinds of convergence, including the well-known statistical convergence.