enhancing p300 wave of bci systems via ngentropy in adaptive wavelet denoising

Enhancing P300 Wave of BCI Systems Via Negentropy in Adaptive Wavelet Denoising

Brian Computer Interface (BCI) is a direct communication pathway between the brain and an external device. BCIs are often aimed at assisting, augmenting or repairing human cognitive or sensory-motor functions. EEG separation into target and non-target ones based on presence of P300 signal is of difficult task mainly due to their natural low signal to noise ratio. In this paper a new algorithm i...

Denoising via Recursive Wavelet

Wavelet Bayes Adaptive Image Denoising

The class of natural images that we encounter in our daily life is only a small subset of the set of all possible images. This subset is called an image manifold. The Adaptive Digital Image Processing applications are becoming increasingly important and they all start with a mathematical representation of the image. In Bayesian restoration methods, the image manifold is encoded in the form of p...

Image Denoising via Wavelet - Domain

Wavelet domain denoising has recently attracted much attention , mostly in conjunction with the coeecient-wise wavelet shrinkage proposed by Donoho 1]. While shrinkage is asymp-totically minimax-optimal, in many image processing applications a mean-squares solution is preferable. Most MMSE solutions that have appeared so far are based on an un-correlated signal model in the wavelet domain, resu...

An Adaptive Hierarchical Method Based on Wavelet and Adaptive Filtering for MRI Denoising

MRI is one of the most powerful techniques to study the internal structure of the body. MRI image quality is affected by various noises. Noises in MRI are usually thermal and mainly due to the motion of charged particles in the coil. Noise in MRI images also cause a limitation in the study of visual images as well as computer analysis of the images. In this paper, first, it is proved that proba...

Perceptual wavelet adaptive denoising of speech

This paper introduces a novel speech enhancement system based on a wavelet denoising framework. In this system, the noisy speech is first preprocessed using a generalized spectral subtraction method to initially lower the noise level with negligible speech distortion. A perceptual wavelet transform is then used to decompose the resulting speech signal into critical bands. Threshold estimation i...