Magno Teófilo Madeira da Silva

• Abstract

  Distributed signal processing has attracted attention in the scientific community due to its several advantages over centralized approaches. In this field, sampling and censoring techniques have been topics of intense research, since the cost associated with measuring, processing and/or transmitting data throughout the entire network may be prohibitive in certain situations. The aim of th…

  Adaptive filtering and machine learning: applications in diffusion networks, soft sensors and classification of cardiac arrhythmias, AP.R

• Abstract

  The equalization of communication channels is a subject very explored in the literature. However, when it is applied to chaos-based communication systems has many open questions. The aim of this project is to find ways to make the performance of these systems closer to that of conventional communication systems. A scheme that allows the switching between these two systems will be studied.…

  Adaptive filters and machine learning: applications on image, communications, and speech, AP.R

• Abstract

  The following activities should be realized during the visit of Prof. Luis A. Azpicueta Ruiz: 1) It is scheduled the talk "Application of combinations of adaptive filtering algorithms in room acoustics." This talk has three goals: (i) introduce Prof. Azpicueta to our colleagues in EPUSP; (ii) present his recent research results; and, (iii) invite the attendees to the tutorial on acoustic…

  Combination of adaptive algorithms and distributed adaptive filtering applied to acoustics, AV.EXT

(Only some records are available in English at this moment)

• Abstract

  In the literature, many computational methods for automatic detection of cardiac arrhythmias from ECG signals have been proposed. The diagnosis of these diseases by the cardiologist usually takes a long time since it is a complex task due to the variable morphological characteristics of the ECG signal. However, due to the high error rates of computational techniques and the growth of mach…

  Detection and classification of cardiac arrhythmias using machine learning techniques, BP.IC

• Abstract

  Recently, solutions based on machine learning for image restoration have been proposed in the literature. In general, image distortions are modeled by linear and spatial invariant point spread functions (PSFs). However, these distortions are nonlinear in practice, which justifies the use of nonlinear solutions to mitigate their effect. In this work, we intend to use neural networks to imp…

  Image restoration using techniques of machine learning, BP.IC

• Abstract

  Techniques of blind source separation (BSS) have attracted attention of the scientific community in the recent decades. They can be applied in the processing of different kind of signals, as signals of a multiuser communication system, biomedical signals, astronomy/cosmology, geophysical, speech, music, among others. Recently, these techniques have been applied to the separation of sounds…

  Separation of sounds of musical instruments, BP.IC

• Abstract

  Combinations of filters operating in parallel have attracted attention in the signal processing community. These combinations have been proposed to improve the performance of adaptive filters since they present universal behavior, i.e., considering stationary inputs, the combined estimate is at least as good as the best component filter. Therefore, they have been used to improve the choic…

  Combinations of adaptive filters and techniques of machine learning, BE.PQ