This report introduces the emerging Wavelet-based video coding system. Inefficiency of the block-based motion estimation in context of the wavelet coder is discussed in comparison to the mesh-based approach. A progressive mesh refinement technique using multiple layers is proposed also a fast motion estimation based on the redundant wavelet is presented that outperforms a full-search motion est...

Electroencephalogram (EEG) is susceptible to various nonneural physiological artifacts. Automatic artifact removal from EEG data remains a key challenge for extracting relevant information from brain activities. To adapt to variable subjects and EEG acquisition environments, this paper presents an automatic online artifact removal method based on a priori artifact information. The combination o...

In many data analysis problems it is useful to consider the data as generated from a set of unknown (latent) generators or sources. The observations we make of a system are then taken to be related to these sources through some unknown function. Furthermore, the (unknown) number of underlying latent sources may be less than the number of observations. Recent developments in Independent Componen...

We address the problem of Blind Source Separation (BSS) of superimposed signals in situations where one signal has constant or slowly varying intensities at some consecutive locations and at the corresponding locations the other signal has highly varying intensities. Independent Component Analysis (ICA) is a major technique for Blind Source Separation and the existing ICA algorithms fail to est...

Journal of Medical Sciences 2013;16(Suppl 1): 1 Comparison of Gadolinium Enhanced Coronary CT Angiography with Conventional Invasive Coronary Angiography in Assessment of Coronary Artery Disease Wasim Ahmed, Khurshid Iqbal Department of Cardiology, Sher-i-Kashmir Institute of Medical Sciences, Soura, J&K, India BACKGROUND: Invasive Coronary Angiography (ICA), though Gold Standard, for assessmen...

Wavelet transforms have been utilised effectively for image denoising, providing a means to exploit the relationships between coefficients at multiple scales. In this paper, a modified structure is presented that enables the utilisation of an unlimited number of wavelet filters. An alternative denoising technique is thus proposed with a simple approach for the utilisation of multiple wavelet fi...

Principal component analysis (PCA) is used to reduce dimensionality of electrocardiogram (ECG) data prior to performing independent component analysis (ICA). A newly developed PCA variance estimator by the author has been applied for detecting true, actual and false peaks of ECG data files. In this paper, it is felt that the ability of ICA is also checked for parameterization of ECG signals, wh...

Neurology India | Jan-Feb 2009 | Vol 57 | Issue 1 Figure 2: Axial contrast-enhanced T1W MRI (a) shows diffuse enhancement of the wall of the right intra-petrous ICA (arrow). Ethmoid and sphenoid sinusitis is also seen. 3D contrast-enhanced MR angiogram (b) shows long segment narrowing of the right ICA (arrow). The left ICA is normal (black arrow) Cavernous sinus thrombophlebitis causing reversi...

Various researchers have proposed pupillometric indicators to assess a person's cognitive strain. However, distinguish the variation of pupil light response from psychosensory in experimental field conditions is challenge. The Index Cognitive Activity (ICA) addresses this problem by wavelet separation. This research investigates ICA's sensitivity for multiple level task-evoked activity and visu...