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The EEG (Electroencephalogram) signals are brain mapped signals that contain information about the brain's complexity and uncertainty. The EEG signals though are useful but due to a large variety of data in them, may look random in nature. We have to extract the proper information from the data by computational modelling of scalp EEG signals. The chaos theory helps in analysing the neurobiological...
The discovery of association rules is one of the very important tasks in data mining. Association rules help in the generation of more general and qualitative knowledge which in turn helps in decision making. Association rules deal with transactions of both binary values and quantitative data.[9} The traditional algorithms for mining association rules are built on binary attributes databases, which...
In nonrigid image registration two problems make a challenging task. First the voxel intensity similarity and anatomical image similarity will not be equivalent. Second during imaging process some distortions such as unwanted rotations and monotonic gray-level fields may occur. Due to these problems image registration quality gets affected. To avoid these problems and to calculate efficiently Uniform...
It is always desired to have high transmission rates over severe time-dispersive multi-path channels without usage of a complex receiver implementation. In this case the Multicarrier Code Division Multiple Access (MC-CDMA) is used which is a combination of conventional Code Division Multiple Access (CDMA) and Orthogonal Frequency Division Multiplexing (OFDM). Better BER performances are achieved by...
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