A5073005597- Blind Source Separation Techniques
- Advanced Adaptive Filtering Techniques
- Speech and Audio Processing
- Advanced Wireless Communication Techniques
- Image and Signal Denoising Methods
- Wireless Communication Networks Research
- Spectroscopy and Chemometric Analyses
- Neural Networks and Applications
- Multi-Criteria Decision Making
- Direction-of-Arrival Estimation Techniques
- Seismic Imaging and Inversion Techniques
- Power Line Communications and Noise
- Sparse and Compressive Sensing Techniques
- Advanced Algorithms and Applications
- Artificial Immune Systems Applications
- Tensor decomposition and applications
- Power Quality and Harmonics
- Advanced MIMO Systems Optimization
- Optical Network Technologies
- PAPR reduction in OFDM
- Advanced Wireless Network Optimization
- Seismic Waves and Analysis
- Chaos control and synchronization
- GNSS positioning and interference
- Business and Management Studies
Universidade Estadual de Campinas (UNICAMP)
2015-2024
University of Siena
2024
Hospital de Clínicas da Unicamp
2005-2023
Universidade Federal do ABC
2021-2022
University of Pennsylvania
2009
Laboratoire des systèmes et applications des technologies de l'information et de l'énergie
2009
Fundação de Amparo à Pesquisa do Estado de São Paulo
2008-2009
École Normale Supérieure Paris-Saclay
2009
Centre for Research and Development in Telecommunications (Brazil)
2007-2008
Hispanics in Philanthropy
2008
In this paper, we discuss the compression of waveforms obtained from measurements power system quantities and analyze reasons why its importance is growing with advent smart grid systems. While generation transmission networks already use a considerable number automation measurement devices, large monitors meters are to be deployed in distribution network allow broad observability real-time monitoring. This situation creates new requirements concerning communication interface, computational...
An extension of the field fast least-squares techniques is presented. It shown that adaptation gain, which updated with a number operations proportional to transversal filter coefficients, can be used update coefficients linearly constrained adaptive filter. algorithm robust round-off errors derived. general and flexible. handle multiple constraints multichannel signals. Its performance illustrated by simulations compared classical LMS-based Frost (1972) algorithm.
This paper introduces a new waveform coding technique, based on wavelet transform, for power quality monitoring purposes. The proposed enhanced data compression method (EDCM) presents complete adaptive signal processing approach to estimate the fundamental sinusoidal component and separate it from transient ones in monitored signal. When these nonstationary components are submitted sparse representation property of transform provides an improvement ratio. Also, degradation inserted by lossy...
We have addressed blind deconvolution in a multichannel framework. Recently, robust solution to this problem based on Bayesian approach called sparse (SMBD) was proposed the literature with interesting results. However, its computational complexity can be high. fast algorithm minimum entropy deconvolution, which is considerably less expensive. designed filter minimize normalized version of hybrid [Formula: see text]-norm loss function. This contrast SMBD, function used as regularization term...
For more than half a century, seismic deconvolution has been of great interest in reflection seismics. Its goal is to remove the effect wavelet, i.e., waveform produced by source, from data. importance industry that it increases resolution image, yielding interpretable section. From theoretical standpoint, what interesting neither wavelet nor characteristics subsurface are known, which makes problem particularly challenging. Over years, several approaches have proposed, based on different...
In this paper, we address the problem of imaging "thin" metallic cylinders from knowledge electric far-field scattered under incidence plane waves. A scattering model based on a multipole expansion accounting for mutual is introduced and then simplified single- second-order hypotheses. The locations unknown inverse are described in terms support /spl delta/-functions. performances truncated singular value decomposition linear inversion algorithm presence errors due to investigated, by both...
Tactile information plays a critical role in the human ability to manipulate objects with one's hands. Many environments require use of protective gloves that diminish essential tactile feedback. Under these circumstances, seemingly simple tasks such as picking up an object can become very difficult. This paper introduces SlipGlove, novel device uses advanced sensing and actuation system return this vital user. Our SlipGlove prototypes focus on providing cues associated slip between glove...
We derive and analyze two modified Kalman channel estimators (KCE) for time-varying, flat, spatially correlated MIMO channels in systems employing orthogonal space-time block codes: the steady-state KCE, which is less complex than fading memory more robust to model mismatch.
As shown recently, the interference problem typical of ion-selective electrodes can be dealt with via smart arrays adjusted by blind source separation methods. In this letter, we resume study and show that such an approach applied even when faced a limited number samples acquired through flow-injection analysis.
This paper proposes an automatic control framework to address the problem of distributed and opportunistic transmission power in wireless communication networks. The proposed allows high flexibility on quality service (QoS) provision by exploiting link variation. It associates a standard target tracking algorithm with dynamic QoS determined linear quadratic regulator (LQR) controller that induces behavior. Strict requirements can also be fulfilled choosing appropriately weighting parameters...
In this paper, we address the problem of blind compensation nonlinear distortions. Our approach relies on assumption that input signal is bandlimited. We then make use classical result output a nonlinearity has wider spectrum than one signal. However, differently from previous works, our does not assume knowledge bandwidth. The proposal considered in development two-stage method for source separation (BSS) post-nonlinear (PNL) models. Indeed, once functions present stage PNL model are...