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电信和无线电工程
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN 打印: 0040-2508
ISSN 在线: 1943-6009

卷:
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电信和无线电工程

DOI: 10.1615/TelecomRadEng.v71.i7.20
pages 605-611

HIDDEN MARKOVIAN MODELS IN THE PROBLEMS OF LOW-ENERGY SIGNAL CLASSIFICATIONS

V. A. Baranov
Scientific Research Center, Federal Security Service, Orel, Russian Federation
P. V. Melnikov
Scientific Research Center, Federal Security Service, Orel, Russian Federation

ABSTRACT

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.

REFERENCES

  1. Fu, K., Sequential Methods in Pattern Recognition.

  2. Mallat, S., A Wavelet Tour of Signal Processing.

  3. Rabiner, L. R., Hidden Markovian models and the application in selected applications for voice recognition.

  4. Tou, J. and Gonzalez, R., Pattern Recognition Principles.

  5. Vetterli, M. and Kovachevich, J., Wavelets and Subband Coding.

  6. Vorobiev, V. I. and Gribunin, V. G., Theory and Practice of Wavelet Transforms.

  7. Yusupov, R. G., Statistical Method of Processing Observation Results.