JOURNAL ARTICLE

Feature Extraction of Acoustic Signal Based on Wavelet Analysis

Abstract

Feature extraction is the key step for acoustic target recognition. Because the acoustic signal is non-stationary, the traditional feature extraction methods can not work well. In this paper, "wavelet analysis method" used for feature extraction is introduced, after simulating and analysing, it is proved that this method is suitable for feature extraction of acoustic signal.

Keywords:
Feature extraction Wavelet Computer science SIGNAL (programming language) Feature (linguistics) Pattern recognition (psychology) Artificial intelligence Wavelet transform Speech recognition

Metrics

9
Cited By
3.94
FWCI (Field Weighted Citation Impact)
3
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Sensor and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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