K. R. Radhika

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Electroencephalogram (EEG) signals derived from polysomnography recordings play an important role in assessing the physiological and behavioral changes during onset of sleep. This paper suggests a spike rhythmicity based feature for discriminating the wake and sleep state. The polysomnography recordings are segmented into 1 second EEG patterns to ensure(More)
Vertical Handoff Decision Making problem is one of the significant technical issues in the development of Heterogeneous wireless networks. This paper presents a vertical handoff decision algorithm based on game theory approach. In this algorithm, the handoff decision problem is formulated as a non cooperative game between the mobile users and the wireless(More)
Next generation wireless networks are expected to exhibit heterogeneity in terms of wireless access technologies, services and application requirements. These heterogeneous wireless access networks consist of the integration of various wireless networks especially Wi-Fi (WLAN), Wi-Max and 3G/B3G cellular networks. One of the challenging problems is to(More)
— The evolving fourth generation wireless networks provide heterogeneous wireless access. This feature enables the multi homed mobile devices to seamlessly roam across various wireless access technologies and to connect always to the best available access network that provides the best QOS at a minimum cost. Different applications have different QOS(More)
— Zernike moments are image descriptors often used in pattern recognition. They offer rotation invariance. In this paper, we discuss a novel method of signature authentication using Zernike moments. Instead of working on primary features such as image or on-line data, working on the derived kinematic plot is a robust way of authentication. The derived(More)
This paper deals with data hiding in compressed video. Unlike data hiding in images and raw video which operates on the images themselves in the spatial or transformed domain which are vulnerable to steganalysis, we target the motion vectors used to encode and reconstruct both the forward predictive (P)-frame and bidirectional (B)-frames in compressed(More)
Edge is an abrupt change that occurs in an image. Edge detection is one of the most prevalent problems in image processing. Edge Detection is the approach used most frequently for segmenting images based on abrupt changes in intensity. It is a concept that covers a number of fields in today's environment. In this paper, a state-of-the-art review of the(More)