Spectral Moments for Feature Extraction from Temporal Signals
نویسندگان
چکیده
A new approach to computation of spectral moments of temporal signals is proposed. The approach is based on the auto correlation sequence of the original temporal signal, and makes use of the fact that the power spectral density is a discrete-time continuous-frequency function. The new approach offers more efficient generation of moments than the approaches based on numerical integration of the power spectral density function. The impact of noise is also analyzed, which was found to be very high at higher-order moments. Based on the analysis, a simple linear transformation of moments is suggested. It is shown that the new features are very little affected by additive white Gaussian noise. Keyword: Feature extraction, spectral moments, temporal signals, EMG, pattern recognition.
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