Выходит 12 номеров в год
ISSN Печать: 0040-2508
ISSN Онлайн: 1943-6009
Indexed in
HIDDEN MARKOVIAN MODELS IN THE PROBLEMS OF LOW-ENERGY SIGNAL CLASSIFICATIONS
Краткое описание
The process of signal classification, based on a hidden Markovian model, is discussed. The basic idea of the auricle is to construct a signal model using its wavelet transform and a hidden Markovian model. Issues of generation of a feature space and its analysis are investigated.
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Fu, K., Sequential Methods in Pattern Recognition.
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Mallat, S., A Wavelet Tour of Signal Processing.
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Rabiner, L. R., Hidden Markovian models and the application in selected applications for voice recognition.
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Tou, J. and Gonzalez, R., Pattern Recognition Principles.
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Vetterli, M. and Kovachevich, J., Wavelets and Subband Coding.
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Vorobiev, V. I. and Gribunin, V. G., Theory and Practice of Wavelet Transforms.
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Yusupov, R. G., Statistical Method of Processing Observation Results.
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