Abstract
In this work, the electrical signals obtained by application of microwaves in chemical and bone tissues are analyzed and classified using techniques of signal processing and pattern recognition. For this, Wavelet Transform is applied as a method to extract relevant features of signal and KNN is used as a classification technique. The results showed that microwave signals can be analyzed using Wavelet Transform, which can be used to reconstruct the signals with minimal error rate and KNN showed satisfactory results. © 2011 SBMO/SBMag.
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Barros, J. D., De Oliveira Júnior, J. J., Da Silva, S. G., & De Farias, R. F. (2011). Characterization of bone tissue by microwaves using wavelets and KNN. In Journal of Microwaves and Optoelectronics (Vol. 10, pp. 217–231). Sociedade Brasileira de Microondas e Optoeletronica (SBMO). https://doi.org/10.1590/S2179-10742011000100020
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