The Feature Extraction of Water Stress AE Signal on Seedlings Based on Wavelet Analysis

Water stress is the most common environmental threat that affects seedlings growing, so it has an important significance for seedlings´ reasonable irrigation to study seedlings´ water stress acoustic emission (referred to as AE) signal. However, the AE signal about water stress on seedlings is always generated with many kinds of interference noise, such as ambient noise, electric noise etc. It is difficult to extract the feature of AE signal only by FFT, so engaged in research of AE signal and the wavelet transform. A method, which is the combination of wavelet transformation and FFT, is described in this paper to resolve the key problem in the field of AE signal water stress on seedlings feature extraction. The results of research show that both methods proposed based on wavelet analysis can effectively extract the characteristics of AE signals and are effective ways to analyze seedlings´ water stress AE signal.