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Spoken dialogue based information retrieval systems are being used in mobile environments such as cars. However, the car environment is noisy and the user’s speech signal gets corrupted due to dynamically changing acoustic environment and the number of interference signals inside the car. The interference signals get mixed with speech signals convolutively due to the chamber impulse response. This...
This paper addresses the problem of compressing Electrocardiogram (ECG) signals using the concept of adaptive sampling. The concept of adaptive sampling relates to optimum estimation of wavelet parameters that best represents a given signal. These wavelet parameters are estimated by minimizing the least mean square error between the original and approximated signal. Such an optimization approach is...
Due to the explosion of usage of the internet and websites a huge amount of data on the web is available in languages other than English. Hence, it is important to develop Information Retrieval (IR) tools for other languages too for web searches. This is as challenging as developing an IR tool for English since each language has unique characteristics of its own. In the development of an IR tool for...
The goal of multi-modal image fusion is to combine complementary information from multisensory data such that the fused image is more suitable for the purpose of human visual perception, computer-processing tasks and detection applications. In this paper, we first use independent component analysis (ICA) as the primary transformation to obtain adaptive analysis bases trained by similar reference images;...
This paper discusses the concept of adaptive wavelets and their application to signal compression and classification. When wavelet non-linear functions are used in the neurons of a neural network we can estimate the wavelet parameters—scale and translation and the relative importance (weight) of each basis function optimally with respect to approximating a given function (signal) in the minimum mean...
In this paper we describe a novel general toolbox that we have developed as part of the integrated prognosis and diagnosis framework. This tool can be used to select the appropriate signal processing techniques for enhancing a signal, to select a portion of a signal, to represent a signal in 2 dimensional domains such as the time-frequency, to extract appropriate prognostic/diagnostic features either...
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