Advanced Signal Processing Techniques for Feature Extraction in Data Mining

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
In this paper, the authors give a description of various signal processing techniques that are in use for processing time series databases for extracting relevant features for pattern recognition. In addition to describe the normally used signal processing methods, they also present a novel signal processing technique, which is a modification of the well-known Short-Time Fourier Transform (STFT) and wavelet transform for extracting suitable features for both visual and automatic classification of non-stationary time-series databases.

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