Feature Extraction of Underwater Target Signal Using Mel Frequency Cepstrum Coefficients Based on Acoustic Vector Sensor.
Lanyue ZhangDi WuXue HanZhongrui ZhuPublished in: J. Sensors (2016)
Keyphrases
- cepstral coefficients
- audio signal
- linear predictive coding
- acoustic signal
- feature extraction
- speech recognition
- sensor networks
- speech signal
- feature vectors
- underwater acoustic
- feature set
- sound source
- discrete wavelet transform
- target tracking
- music information retrieval
- frequency domain
- mel frequency cepstral coefficients
- linear prediction
- low frequency
- sensor data
- speaker identification
- extracted features
- wavelet transform
- wavelet coefficients
- high pass
- acoustic features
- underwater vehicles
- multi sensor
- original signal
- source localization
- fourier coefficients
- band pass filters
- frequency response
- noisy environments
- high frequency
- subband
- non stationary
- signal detection
- audio features
- fundamental frequency
- sensor array
- bandpass
- basis functions
- hidden markov models
- face recognition
- feature selection