PDE-based image denoising processes often lead to significant loss of fine structures such as edges and textures. This article is concerned with numerical modeling for PDE-based denoising models that can preserve/recover fine structures in the restored image. The essentially non-dissipative schemes are considered to minimize nonphysical diffusion during the removal of impulse noise. For the rem...

In our previous paper, we presented a speaker identification system using a multi-SNR multi-band method, and reported its robustness against environmental noises. This paper describes two modifications to the system for further enhancement of its noise-robustness. Firstly, 1/f noise is employed instead of white Gaussian noise to make noisy data for training multi-SNR GMMs. Secondly, recombinati...

Electroencephalographic (EEG) recordings are often contaminated with several artifacts.Powerline interference and baseline noise is always present in EEG response of every patient. A number of strategies are available to deal with noise effectively both at the time of EEG recording as well as during preprocessing of recorded data. The aim of the paper is to give an overview of the most common s...