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Viterbi detector is widely used in communication systems for signal detection. The exact performance of the detector is of research interest ever since the algorithm was proposed. Traditional methods to characterize the performance bound the bit error rate (BER) of the detector using error event analysis and minimum distance bounds. A Markovian approach was proposed to exactly characterize the performance...
Hidden Markov Models (HMM) are the widely used modeling techniques for online handwriting recognition. This paper describes both stroke based and character based methods for Assamese handwritten character recognition using HMM classifier. In stroke based method, unique strokes that are used to write the characters are grouped and then HMM modeling is done for each of these selected class of strokes...
In this work, a novel approach of linear transformation on speech subspace is used to preserve the properties of speech signal under stress condition. It is assumed that, there is another subspace called as speech subspace which exist and contains the properties of speech signal under neutral and stress conditions. Therefore, speech component of stress speech is determined by linear transformation...
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