Threshold Comparison for Decision Results with Signal Processing Enhancement

This implementation computes short-term signal entropy and compares it against a predefined threshold to generate decision outcomes. The system employs an order statistics filter (maximum value filter) to process the entropy values, thereby improving decision accuracy. The algorithm effectively distinguishes between speech signals and noise signals, with backend smoothing processing applied to concentrate voice detection results for enhanced reliability.