Adaptive nonlinear equalizer using a mixture of gaussians based on-line density estimator

This paper introduces a new adaptive nonlinear equalizer relying on a radial basis function (RBF) model, which is designed based on the minimum bit error rate (MBER) criterion, in the system setting of the intersymbol interference channel plus a co-channel interference. Our proposed algorithm is referred to as the on-line mixture of Gaussians estimator aided MBER (OMG-MBER) equalizer. Specifically, a mixture of Gaussians based probability density function (PDF) estimator is used to model the PDF of the decision variable, for which a novel on-line PDF update algorithm is derived to track the incoming data. With the aid of this novel on-line mixture of Gaussians based sample-by-sample updated PDF estimator, our adaptive nonlinear equalizer is capable of updating its equalizer’s parameters sample by sample to aim directly at minimizing the RBF nonlinear equalizer’s achievable bit error rate (BER). The proposed OMG-MBER equalizer significantly outperforms the existing on-line nonlinear MBER equalizer, known as the least bit error rate equalizer, in terms of both the convergence speed and the achievable BER, as is confirmed in our simulation study

Extending the Lincoln–Petersen estimator for multiple identifications in one source

The Lincoln–Petersen estimator is one of the most popular estimators used in capture–recapture studies. It was developed for a sampling situation in which two sources independently identify members of a target population. For each of the two sources, it is determined if a unit of the target population is identified or not. This leads to a 2 × 2 table with frequencies f11, f10, f01, f00 indicating the number of units identified by both sources, by the first but not the second source, by the second but not the first source and not identified by any of the two sources, respectively. However, f00 is unobserved so that the 2 × 2 table is incomplete and the Lincoln–Petersen estimator provides an estimate for f00. In this paper, we consider a generalization of this situation for which one source provides not only a binary identification outcome but also a count outcome of how many times a unit has been identified. Using a truncated Poisson count model, truncating multiple identifications larger than two, we propose a maximum likelihood estimator of the Poisson parameter and, ultimately, of the population size. This estimator shows benefits, in comparison with Lincoln–Petersen’s, in terms of bias and efficiency. It is possible to test the homogeneity assumption that is not testable in the Lincoln–Petersen framework. The approach is applied to surveillance data on syphilis from Izmir, Turkey.

On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers

We develop an on-line Gaussian mixture density estimator (OGMDE) in the complex-valued domain to facilitate adaptive minimum bit-error-rate (MBER) beamforming receiver for multiple antenna based space-division multiple access systems. Specifically, the novel OGMDE is proposed to adaptively model the probability density function of the beamformer’s output by tracking the incoming data sample by sample. With the aid of the proposed OGMDE, our adaptive beamformer is capable of updating the beamformer’s weights sample by sample to directly minimize the achievable bit error rate (BER). We show that this OGMDE based MBER beamformer outperforms the existing on-line MBER beamformer, known as the least BER beamformer, in terms of both the convergence speed and the achievable BER.

I killed my father, I ate human flesh, I quiver with joy: an obsession with Pier Paolo Pasolini

Group show, curated by Invisible Exports Gallery. Featuring work by Michael Bilsborough, Lizzi Bougatsos, BREYER P-ORRIDGE, Asger Carlsen, Troels Carlsen, Walt Cassidy, Andy Coolquitt, Vaginal Davis, Carlton DeWoody, Joey Frank, Paul Gabrielli, Ludovica Gioscia, Luis Gispert, Terence Hannum, Karen Heagle, Timothy Hull, Doug Ischar, Brian Kenny, Jeremy Kost, Aaron Krach, Yeni Mao, Leigha Mason, Mark McCoy, Robert Melee, Lucas Michael, Jennifer Needleman, Brent Owens, Paul P., Paolo Di Paolo, Franklin Preston, John Russell, Xaviera Simmons, Duston Spear, Scott Treleaven, Ramon Vega, Jordan Wolfson, Dustin Yellin

Sparse density estimator with tunable kernels

A new sparse kernel density estimator with tunable kernels is introduced within a forward constrained regression framework whereby the nonnegative and summing-to-unity constraints of the mixing weights can easily be satisfied. Based on the minimum integrated square error criterion, a recursive algorithm is developed to select significant kernels one at time, and the kernel width of the selected kernel is then tuned using the gradient descent algorithm. Numerical examples are employed to demonstrate that the proposed approach is effective in constructing very sparse kernel density estimators with competitive accuracy to existing kernel density estimators.

A finite sample improvement of the fixed effects estimator : applied to technical infficiency

The FE ('fixed effects') estimator of technical inefficiency performs poorly when N ('number of firms') is large and T ('number of time observations') is small. We propose estimators of both the firm effects and the inefficiencies, which have small sample gains compared to the traditional FE estimator. The estimators are based on nonparametric kernel regression of unordered variables, which includes the FE estimator as a special case. In terms of global conditional MSE ('mean square error') criterions, it is proved that there are kernel estimators which are efficient to the FE estimators of firm effects and inefficiencies, in finite samples. Monte Carlo simulations supports our theoretical findings and in an empirical example it is shown how the traditional FE estimator and the proposed kernel FE estimator lead to very different conclusions about inefficiency of Indonesian rice farmers.

Correcting the fixed-effect estimator for endogenous switching

In this paper, we propose a two-step estimator for panel data models in which a binary covariate is endogenous. In the first stage, a random-effects probit model is estimated, having the endogenous variable as the left-hand side variable. Correction terms are then constructed and included in the main regression.

Desafios que enfrenta a ANP para regular a indústria de petróleo no Brasil depois da quebra do monopólio em 1997 ate o ano de 2005

This work is analyzing the challenges which the National Petrol Agency is facing to regulate the Petrol industry in Brazil after the Monopoly crash in the period between 1997 until 2005. Due to the necessities of adaptation of its political strategies to the rules which determine the international economic flows, Brazil was forced to use the Economic Regulation in order to control the market. The regulation established in Brazil is not indifferent to imperfect markets. Thus can be find a conflict of interests among companies, the government and consumers within this process of regulation. The established agency does not have enough autonomy for administrating a regulation. The State with its paternalism power does not allow the agency to fulfill its function for which it was established, even though its function was established by law. A regulating policy which is clearly defined will establish a strong and independent agency with a clear limitation of its competences, avoiding divergent interpretation which prioritizes investments and promotes economic development. The agency will have the challenge to regulate the companies that enter the sector, allowing the opening of the market for new initiatives of investments which contribute to the welfare of the country and breaking at the same time the monopoly that is lead by Petrobras since 1953. Combining a stable set of rules with agility in order to adapt to changes will provide the regulator with a great decision-making power. The flexibility in the regulation will improve the correcting of the rules that were set in the beginning, being more efficient, which are based on acquired experience and achieved results. The structure of the agency and the flexibility of the regulation should be orientated on the promotion of competition in order to achieve economic and social development.

Perfil da administração tributária em municipios com ate 30.000 habitantes: esforço fiscal e viabilidade municipal

Analisa a questão do esforço fiscal e da viabilidade municipal em termos de arrecadação potencial nos municípios brasileiros. Avalia a formação educacional do primeiro escalão do executivo municipal e da Secretaria de Finanças nos municípios com até 30.000 habitantes, e o quantitativo, por função, do quadro funcional destas últimas

Escola pública em Macapa: como, ate quando e porque

A Escola Pública de Macapá possui uma qualidade que justifica sua prevalência sobre a Particular. Além disso, ela tem sido o tipo de instituição predominante no atendimento da população em idade escolar. O presente estudo analisa a concepção dos educadores macapaenses sobre a importância da preservação da Escola Pública. Procurou-se verificar, também, o grau de consciência destes profissionais sobre o privilégio de usufruir do ensino público. Trata-se de uma pesquisa que visa chamar a atenção dos educadores para a importância de sua participação no resgate da credibilidade da Escola Pública em Macapá.

Catch-per-unit-effort: which estimator is best?

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Thallium-arene contacts in a rare yttrium tris(pyrazolyl)hydroborate ate complex

A salt elimination reaction between [YCl3(THF)(3.5)] and 1 or 2 equiv. of Tl(Tp(Ms*)) [Tp(Ms*) = HB(3-mesitylpyrazolyl)2(5-mesitylpyrazolyl)(-)] leads in both cases to single metathesis, giving a mixture of the mono-Tp(Ms*) complex [YCl3(Tp(Ms*))Tl] (1) and another complex, [YCl2(Tp(Ms* *))] (2) [Tp(Ms* *) = HB(3-mesitylpyrazolyl)(5-mesitylpyrazolyl)(2)(-)], that results from the transfer of a second mesityl group to the 5-position of the pyrazolyl ring. The solid-state structure of 1 shows a unique ate dimeric structure with the TV cations coordinated by two mu(2)- and two mu(3)-bridging Cl atoms as well as two eta(3)-mesityl ligands. ((C) Wiley-VCH Verlag GmbH & Co. KGaA, 69451 Weinheim, Germany, 2004).

Seed Dispersal Anachronisms: Rethinking the Fruits Extinct Megafauna Ate

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)