A Bayesian Network View on Acoustic Model-Based Techniques for Robust Speech Recognition

This article provides a unifying Bayesian network view on various approaches for acoustic model adaptation, missing feature, and uncertainty decoding that are well-known in the literature of robust automatic speech recognition. The representatives of these classes can often be deduced from a Bayesian network that extends the conventional hidden Markov models used in speech recognition. These extensions, in turn, can in many cases be motivated from an underlying observation model that relates clean and distorted feature vectors. By converting the observation models into a Bayesian network representation, we formulate the corresponding compensation rules leading to a unified view on known derivations as well as to new formulations for certain approaches. The generic Bayesian perspective provided in this contribution thus highlights structural differences and similarities between the analyzed approaches

A distributed networked approach for fault detection of large-scale systems

Networked systems present some key new challenges in the development of fault diagnosis architectures. This paper proposes a novel distributed networked fault detection methodology for large-scale interconnected systems. The proposed formulation incorporates a synchronization methodology with a filtering approach in order to reduce the effect of measurement noise and time delays on the fault detection performance. The proposed approach allows the monitoring of multi-rate systems, where asynchronous and delayed measurements are available. This is achieved through the development of a virtual sensor scheme with a model-based re-synchronization algorithm and a delay compensation strategy for distributed fault diagnostic units. The monitoring architecture exploits an adaptive approximator with learning capabilities for handling uncertainties in the interconnection dynamics. A consensus-based estimator with timevarying weights is introduced, for improving fault detectability in the case of variables shared among more than one subsystem. Furthermore, time-varying threshold functions are designed to prevent false-positive alarms. Analytical fault detectability sufficient conditions are derived and extensive simulation results are presented to illustrate the effectiveness of the distributed fault detection technique

Impacto de imperfeições do laser em receptores ópticos coerentes com formatos de modulação de alta ordem

Orientador: Darli Augusto de Arruda MelloDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de ComputaçãoResumo: Atualmente, os sistemas ópticos coerentes transmitem grandes volumes de informação graças à utilização de formatos de modulação de alta ordem. No entanto, esses formatos de modulação são mais suscetíveis a perturbações de fase geradas por imperfeições nos lasers utilizados no transmissor e receptor. Este trabalho centrou-se em uma análise das imperfeições do laser e seu impacto sobre o desempenho de receptores ópticos coerentes com formatos de modulação de alta ordem. Em especial, avaliaram-se as duas fontes principais de perturbações de fase: o ruído de fase do laser e as flutuações na frequência de operação, efeito conhecido como jitter de frequência da portadora. Primeiramente, investigou-se o impacto das imperfeições do laser por meio de simulações. O ruído de fase foi simulado como um processo discreto de Wiener, e o jitter de frequência foi modelado como uma forma de onda senoidal. Os resultados permitiram avaliar o comportamento do sistema sob diversas condições de frequência e amplitude do sinal de jitter. Posteriormente, o impacto das perturbações de fase foi avaliado por meio de experimentos. Observou-se que parâmetro de largura de linha calculado por métodos existentes não é suficiente para prever o comportamento dos algoritmos de processamento digital de sinais sob condições intensas de jitter. Alternativamente, o trabalho sugeriu uma metodologia mais conveniente para prever o impacto das perturbações do laser no desempenho do sistema, que leva em consideração a composição de ruído de fase e jitter de frequênciaAbstract: Currently, coherent optical systems transmit large volumes of information thanks to the use of high-order modulation formats. However, such modulation formats are more susceptible to phase perturbations generated by imperfections in the lasers used in the transmitter and receiver. This work focused on an analysis of laser imperfections and their impact on the performance of coherent optical receivers with high-order modulation formats. In particular, the two main sources of phase perturbations were evaluated: laser phase noise and fluctuations in the operating frequency, an effect known as carrier frequency jitter. First, the impact of laser imperfections was evaluated by simulations. Phase noise was modeled as a Wiener process, and frequency jitter was assumed to be sinusoidal. The results allowed to evaluate the behavior of the system under different conditions of frequency and amplitude of the jitter signal. Later, the impact of phase perturbations was evaluated through experiments. It was observed that the laser linewidth calculated by existing methods is not sufficient to predict the behavior of the digital signal processing algorithms under intense jitter conditions. Alternatively, the work suggested a more convenient methodology for predicting the impact of laser perturbations on system performance, which takes into account the composition of phase noise and carrier frequency jitterMestradoTelecomunicações e TelemáticaMestra em Engenharia ElétricaCAPE