Simulink-Based Algorithm for Signal Processing: Trigger Implementation

A MATLAB/Simulink-based algorithm named Trigger designed for advanced signal processing applications. The algorithm employs moving average filters for noise reduction and matched filters for precise peak extraction, while simultaneously verifying original signal validity. The implementation incorporates signal preprocessing steps to ensure input data accuracy. Key technical aspects include: - M-code implementation using MATLAB's scripting language for core algorithm logic - S-function encapsulation enabling seamless integration with Simulink blocks - Configurable parameters allowing customization of filter coefficients and threshold values - Real-time signal validation mechanisms through correlation analysis The algorithm's architecture supports customizable filter windows and adaptive threshold detection, making it suitable for varying signal-to-noise ratio conditions. This robust and flexible Trigger algorithm serves as an effective tool for processing and analyzing diverse signal types across different engineering applications.