Several methods have been proposed for detection and classification of power quality (PQ)
disturbances using wavelet, Hilbert transform, Gabor transform, Gabor-Wigner transform, S …

The quality of electric power has become an important issue for electric utility companies
and their customers. With the extensive application of micro‐grid technologies, power quality …

Most of the electronic equipments are susceptible to power disturbances. Transients are one
of the most damaging power disturbances among them. In this paper, a modern adaptive …

Fixed and adaptive supervised dictionary learning (SDL) is proposed in this paper for wide-
area stability assessment. Single and hybrid fixed structures are developed based on …

This study introduces a novel unified framework for simultaneous denoising and
compression of electric power system disturbance signals using sparse signal …

This paper proposes a highly accurate and fast power quality disturbances (PQDs)
classification using dictionary learning sparse decomposition (DLSD). Firstly, an over …

Carrier-free short pulse widely employed in UWB radar is brought into high-resolution sonar
system, which has unique advantages: attaining more target information, restraining …

The smart grid is an important empowering agent for a prosperous society. However, due to
the involvement of various renewable energy sources, power electronic devices and loads …

This paper discusses several methods of power spectrum estimation, respectively using the
indirect method and Welch method to estimate power spectrum distribution through the …

A decomposição esparsa tem se mostrado eficaz em muitas aplicaçõoes de processamento
de sinais. A utilização dessa técnica depende de um dicionário adequado com as …