Comprehensive Spectrum Detection Algorithm: Implementation and Analysis

This paper presents a comprehensive MATLAB implementation of a complete spectrum detection algorithm. We provide detailed explanations of algorithmic principles alongside fully executable code and experimental validation results. The implementation covers all critical components including signal preprocessing routines (filtering and normalization), frequency domain transformation using FFT algorithms, and advanced peak detection mechanisms with threshold optimization. Key implementation aspects include: - Signal preprocessing module handling noise reduction and signal conditioning - Frequency analysis utilizing windowing functions and spectral estimation techniques - Adaptive peak detection algorithms with configurable sensitivity parameters - Parameter tuning methodologies for optimal performance across different signal types We demonstrate multiple experimental scenarios showing how to adjust algorithm parameters for maximum detection accuracy and provide comparative results validating the algorithm's effectiveness. Readers will gain practical understanding of spectrum detection implementation details and learn to apply these techniques to real-world signal processing challenges. The code structure follows modular design principles, allowing easy customization and integration into larger signal processing systems.