937 resultados para Matriz Input-Output
Resumo:
We present a method to compute, quickly and efficiently, the mutual information achieved by an IID (independent identically distributed) complex Gaussian signal on a block Rayleigh-faded channel without side information at the receiver. The method accommodates both scalar and MIMO (multiple-input multiple-output) settings. Operationally, this mutual information represents the highest spectral efficiency that can be attained using Gaussiancodebooks. Examples are provided that illustrate the loss in spectral efficiency caused by fast fading and how that loss is amplified when multiple transmit antennas are used. These examples are further enriched by comparisons with the channel capacity under perfect channel-state information at the receiver, and with the spectral efficiency attained by pilot-based transmission.
Resumo:
We present a method to compute, quickly and efficiently, the mutual information achieved by an IID (independent identically distributed) complex Gaussian signal on a block Rayleigh-faded channel without side information at the receiver. The method accommodates both scalar and MIMO (multiple-input multiple-output) settings. Operationally, this mutual information represents the highest spectral efficiency that can be attained using Gaussiancodebooks. Examples are provided that illustrate the loss in spectral efficiency caused by fast fading and how that loss is amplified when multiple transmit antennas are used. These examples are further enriched by comparisons with the channel capacity under perfect channel-state information at the receiver, and with the spectral efficiency attained by pilot-based transmission.
Resumo:
In this paper, we introduce a pilot-aided multipath channel estimator for Multiple-Input Multiple-Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) systems. Typical estimation algorithms assume the number of multipath components and delays to be known and constant, while theiramplitudes may vary in time. In this work, we focus on the more realistic assumption that also the number of channel taps is unknown and time-varying. The estimation problem arising from this assumption is solved using Random Set Theory (RST), which is a probability theory of finite sets. Due to the lack of a closed form of the optimal filter, a Rao-Blackwellized Particle Filter (RBPF) implementation of the channel estimator is derived. Simulation results demonstrate the estimator effectiveness.
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We study the minimum mean square error (MMSE) and the multiuser efficiency η of large dynamic multiple access communication systems in which optimal multiuser detection is performed at the receiver as the number and the identities of active users is allowed to change at each transmission time. The system dynamics are ruled by a Markov model describing the evolution of the channel occupancy and a large-system analysis is performed when the number of observations grow large. Starting on the equivalent scalar channel and the fixed-point equation tying multiuser efficiency and MMSE, we extend it to the case of a dynamic channel, and derive lower and upper bounds for the MMSE (and, thus, for η as well) holding true in the limit of large signal–to–noise ratios and increasingly large observation time T.
Resumo:
Multiple-input multiple-output (MIMO) techniques have become an essential part of broadband wireless communications systems. For example, the recently developed IEEE 802.16e specifications for broadband wireless access include three MIMOprofiles employing 2×2 space-time codes (STCs), and two of these MIMO schemes are mandatory on the downlink of Mobile WiMAX systems. One of these has full rate, and the other has full diversity, but neither of them has both of the desired features. The third profile, namely, Matrix C, which is not mandatory, is both a full rate and a full diversity code, but it has a high decoder complexity. Recently, the attention was turned to the decodercomplexity issue and including this in the design criteria, several full-rate STCs were proposed as alternatives to Matrix C. In this paper, we review these different alternatives and compare them to Matrix C in terms of performances and the correspondingreceiver complexities.
Resumo:
Silver Code (SilC) was originally discovered in [1–4] for 2×2 multiple-input multiple-output (MIMO) transmission. It has non-vanishing minimum determinant 1/7, slightly lower than Golden code, but is fast-decodable, i.e., it allows reduced-complexity maximum likelihood decoding [5–7]. In this paper, we present a multidimensional trellis-coded modulation scheme for MIMO systems [11] based on set partitioning of the Silver Code, named Silver Space-Time Trellis Coded Modulation (SST-TCM). This lattice set partitioning is designed specifically to increase the minimum determinant. The branches of the outer trellis code are labeled with these partitions. Viterbi algorithm is applied for trellis decoding, while the branch metrics are computed by using a sphere-decoding algorithm. It is shown that the proposed SST-TCM performs very closely to the Golden Space-Time Trellis Coded Modulation (GST-TCM) scheme, yetwith a much reduced decoding complexity thanks to its fast-decoding property.
Resumo:
We develop a model of an industry with many heterogeneous firms that face both financing constraints and irreversibility constraints. The financing constraint implies that firms cannot borrow unless the debt is secured by collateral; the irreversibility constraint that they can only sell their fixed capital by selling their business. We use this model to examine the cyclical behavior of aggregate fixed investment, variable capital investment, and output in the presence of persistent idiosyncratic and aggregate shocks. Our model yields three main results. First, the effect of the irreversibility constraint on fixed capital investment is reinforced by the financing constraint. Second, the effect of the financing constraint on variable capital investment is reinforced by the irreversibility constraint. Finally, the interaction between the two constraints is key for explaining why input inventories and material deliveries of US manufacturing firms are so volatile and procyclical, and also why they are highly asymmetrical over the business cycle.
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Estudo teórico que teve como objetivo elaborar uma matriz conceitual para analisar a vulnerabilidade da criança diante de situações adversas para seu desenvolvimento. Propõe-se que vulnerabilidade da criança seja analisada por meio dos aspectos das dimensões individual, relativa a relações sustentadoras contínuas e proteção física e segurança; social , concernente à inserção social da família e ao acesso a direitos à proteção e promoção social, e programática , cenário político-programático, de diretrizes e implementação político-programáticas. A aplicação prática desta matriz permite a captação do processo saúde-doença para além da dimensão individual, possibilitando a articulação das políticas públicas e das ações dos profissionais, a fim de obter eficácia no atendimento às necessidades das crianças. O uso desse instrumento conceitual pode propiciar às equipes de saúde a apreensão, de forma específica, das situações adversas ao desenvolvimento infantil, bem como subsidiar a construção de planos de intervenção a partir das dimensões analíticas da vulnerabilidade.
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This study analyzes the impact of price shocks in three input and output markets critical to ethanol: gasoline, corn, and sugar. We investigate the impact of these shocks on ethanol and related agricultural markets in the United States and Brazil. We find that the composition of a country’s vehicle fleet determines the direction of the response of ethanol consumption to changes in the gasoline price. We also find that a change in feedstock costs affects the profitability of ethanol producers and the domestic ethanol price. In Brazil, where two commodities compete for sugarcane, changes in the sugar market affect the competing ethanol market.
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The aim of this paper is to analyse the impact of university knowledge and technology transfer activities on academic research output. Specifically, we study whether researchers with collaborative links with the private sector publish less than their peers without such links, once controlling for other sources of heterogeneity. We report findings from a longitudinal dataset on researchers from two engineering departments in the UK between 1985 until 2006. Our results indicate that researchers with industrial links publish significantly more than their peers. Academic productivity, though, is higher for low levels of industry involvement as compared to high levels.
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In this paper we study the relevance of multiple kernel learning (MKL) for the automatic selection of time series inputs. Recently, MKL has gained great attention in the machine learning community due to its flexibility in modelling complex patterns and performing feature selection. In general, MKL constructs the kernel as a weighted linear combination of basis kernels, exploiting different sources of information. An efficient algorithm wrapping a Support Vector Regression model for optimizing the MKL weights, named SimpleMKL, is used for the analysis. In this sense, MKL performs feature selection by discarding inputs/kernels with low or null weights. The approach proposed is tested with simulated linear and nonlinear time series (AutoRegressive, Henon and Lorenz series).
Resumo:
O trabalho ora elaborado é um estudo de pesquisa e análise sobre a Igreja Matriz de Nossa Senhora da Graça, na cidade da Praia, e a valorização da sua obra cristã, com a visita do Papa João Paulo II em 1990. O tema justifica-se, pela importância que o referido templo teve no contexto da implantação da Igreja Católica em Cabo Verde, como ponto de referência para os católicos, devido a sua meritosa acção de cuidados com as almas junto dos povoados, e das funções educativas e sociais, que de um modo geral, contribuíram na formação do homem cabo-verdiano. Ainda justifica-se pelas exigências curriculares vigentes na UNICV, para a obtenção do grau de licenciatura em ensino de Historia. Para o estudo desse objecto (Igreja Matriz da Praia) traçamos os seguintes objectivos: • Contextualizar o processo da implantação da Igreja Católica em Cabo Verde; • Descrever e analisar os aspectos relacionados com a estética da obra arquitectónica; • Destacar o valor da sua obra cristã, com a visita Papal em 1990. O presente trabalho consta-se de uma introdução, seguida de dois capítulos. O primeiro relata a situação da Igreja Católica em Cabo Verde, destacando a sua origem, o papel que ela desempenhou, e realça ainda, a importância da Igreja de Nossa Senhora do Rosário como referencia na afirmação da Igreja em Cabo Verde. O segundo capítulo centraliza no edifício arquitectónico, abordando também a sua origem, a parte artística e a visita que o Papa João Paulo II efectuou a Cabo Verde em Janeiro de 1990. Realizar um estudo sobre a Igreja de Nossa Senhora da Graça, implica um recuo ao passado, no que se refere à evangelização do arquipélago, e às construções de ermidas, capelas e igrejas, que, de certo modo, desempenharam funções para que foram edificadas. Sabemos que a arte pode ser definida como a capacidade que o homem possui de produzir objectos, ou realizar acções, com as quais ele possa expressar ideias, sentimentos ou emoções estéticas, isto é, susceptíveis de produzir prazer estético. E uma obra de arte pode ser considerada como um veiculo de comunicação, que requer sempre um suporte de qualquer material, pelo qual e no qual o artista concretiza a sua ideia, sentimento ou emoção, tornando a obra de arte uma mensagem receptível pelos outros. Assim, tratando-se de uma obra arquitectónica, não deixaríamos, de realçar a vertente artística e cultural, de cariz sacro, que pelo seu valor próprio, deve ser considerada de interesse relevante para a permanência da memória colectiva do povo cabo-verdiano.
Resumo:
We evaluate conditional predictive densities for U.S. output growth and inflationusing a number of commonly used forecasting models that rely on a large number ofmacroeconomic predictors. More specifically, we evaluate how well conditional predictive densities based on the commonly used normality assumption fit actual realizationsout-of-sample. Our focus on predictive densities acknowledges the possibility that, although some predictors can improve or deteriorate point forecasts, they might have theopposite effect on higher moments. We find that normality is rejected for most modelsin some dimension according to at least one of the tests we use. Interestingly, however,combinations of predictive densities appear to be correctly approximated by a normaldensity: the simple, equal average when predicting output growth and Bayesian modelaverage when predicting inflation.
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A key aspect of industrialization is theadoption of increasing-returns-to-scale, industrial,technologies. Two other, well-documented aspects arethat industrial technologies are adopted throughoutintermediate-input chains and that they use intermediateinputs intensively relative to the technologies theyreplace. These features of industrial technologiescombined imply that countries with access to similartechnologies may have very different levels ofindustrialization and income, even if the degree ofincreasing returns to scale at the firm level is relativelysmall. Furthermore, a small improvement in theproductivity of industrial technologies can trigger full-scaleindustrialization and a large increase in income.
Resumo:
We examine the dynamics of US output and inflation using a structural time varyingcoefficient VAR. We show that there are changes in the volatility of both variables andin the persistence of inflation. Technology shocks explain changes in output volatility,while a combination of technology, demand and monetary shocks explain variations inthe persistence and volatility of inflation. We detect changes over time in the transmission of technology shocks and in the variance of technology and of monetary policyshocks. Hours and labor productivity always increase in response to technology shocks.