Passive Moving Target Classification Via Spectra Multiplication Method.

IEEE Signal Processing Letters(2017)

引用 15|浏览22
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摘要
Traditional feature extractions, such as mel-frequency cepstral coefficients (MFCCs), are susceptible to acoustic channel effects, reverberation, and additive environmental noises when applied to passive moving target classification in underwater environment. A spectra multiplication method (SMM) is proposed in this letter to replace the estimated spectrum of MFCCs. SMM suppresses the time-variant...
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关键词
Feature extraction,Acoustics,Acoustic distortion,Sonar,Robustness,Cutoff frequency
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