Murali Krishnan

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In this paper we investigate the performance of the Discrete Wavelet Transform (DWT) with Dynamic Time Warping , Vector Quantization and Artificial Neural Networks for speaker-dependent, isolated word recognition. Wavelet Transforms have demonstrated good time-frequency localization properties and are appropriate tools for the analysis of non-stationary(More)
— Recently, a novel method created on thought based brain signal and it has been technologically advanced rapidly. The Brain control system is a rapidly emerging multidisciplinary study area which has perceived remarkable achievement over the past few years. In this paper, we review the background, feature extraction and classification algorithms used to(More)
This is a case report of diagnosis and management of masochistic habits, a special type of mechanical trauma to the gingival tissue known as self-inflicted lesions, also termed as gingivitis artefacta. Self-inflicted injuries can be premeditated, accidental, or can also result from an uncommon habit. The purpose of this article is to review clinical(More)
Component-based software construction has gained a large momentum and become a main focus of software engineering research and computing. Even though there are many standards available now for developing component-based applications, there are still applications where a single-language based approach is not suitable. Some of the actions that a program(More)
In this lecture, we will consider the problem of calculating the probability that a given network fails, and give a FPRAS (Fully Polynomial Randomized Approximation Scheme) for the same. The work on reliability is Karger, see [1, 2], and the earlier work on #DN F is Karp and Luby [4, 3]. Fix an undirected graph G and 0 ≤ p ≤ 1. Let H be a graph obtained by(More)
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