TSP
2010
13 years 7 months ago
2010
The dual-tree complex wavelet transform (DT- WT) is known to exhibit better shift-invariance than the conventional discrete wavelet transform. We propose an amplitude-phase represe...
TITB
2010
13 years 7 months ago
2010
Four time-frequency and time-scale methods are studied for their ability of detecting myoclonic seizures from accelerometric data. Methods that are used are: the short-time Fourier...
TIP
2011
13 years 7 months ago
2011
The Easy Path Wavelet Transform (EPWT) has recently been proposed by one of the authors as a tool for sparse representations of bivariate functions from discrete data, in particul...
CDC
2010
IEEE
13 years 7 months ago
2010
IEEE
A multi-resolution path planning algorithm based on the wavelet transform of the environment has been reported previously in the literature. In this paper, we provide a proof of co...
CDC
2009
IEEE
13 years 10 months ago
2009
IEEE
The paper described a novel method for detecting and identifying faults that occur in the actuator of control systems with input and output signals related to the component itself....
BMVC
2010
13 years 10 months ago
2010
In interest point based human action recognition, local descriptors are used to represent information in the neighbourhood around each extracted space-time interest point. The per...
IAJIT
2010
13 years 11 months ago
2010
: In this paper we have made an algorithm to diagnose the Constitutional Jaundice (Dubin-Johnson, Gilbert and Rotor syndrome) the algorithm is decomposed into two parts: 1) using W...
NC
2007
13 years 12 months ago
2007
Sorting of the extracellularly recorded spikes is a basic prerequisite for analysis of the cooperative neural behavior and neural code. Fundamentally the sorting performance is deï...
JMM2
2007
14 years 9 days ago
2007
Recently discrete wavelet transform and wavelet packet has emerged as popular techniques for image compression. The wavelet transform is one of the major processing components of i...
JBI
2007
14 years 10 days ago
2007
In medical image analysis, the image content is often represented by computed features that need to be interpreted at a clinical level of understanding to support lopment of clini...