Simple and Practical MATLAB Code Implementation for Feature Extraction
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Resource Overview
Detailed Documentation
This program is designed to assist users in extracting meaningful features from data for enhanced analysis. The feature extraction process implements a comprehensive set of both time-domain and frequency-domain characteristics. Key computed features include waveform factor (representing signal shape characteristics), kurtosis (measuring tailedness of the distribution), and frequency band energy percentage (analyzing energy distribution across different frequency ranges). The code architecture employs modular functions for each feature type, allowing easy customization and extension. These extracted features enable users to gain comprehensive insights into data patterns and perform more accurate analytical tasks. The implementation emphasizes simplicity and usability, with clear function interfaces and documentation, enabling rapid adoption and improved workflow efficiency.
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