MATLAB Code Implementation for Cyclostationary Signal Analysis

This package provides essential cyclostationary subroutines designed specifically for processing cyclostationary signals, offering greater flexibility and control during signal analysis workflows. The modular design allows users to adjust and modify these subroutines according to specific signal processing requirements, making them adaptable to various cyclostationary analysis tasks. Key functions include cyclic autocorrelation computation, spectral correlation density estimation, and cycle frequency detection algorithms that implement both time-domain and frequency-domain approaches. By leveraging these optimized subroutines, researchers can achieve more efficient and accurate cyclostationary signal analysis, with implementations supporting configurable parameters for windowing functions, FFT sizes, and statistical averaging methods to handle different signal-to-noise ratios and stationarity characteristics. The code structure emphasizes computational efficiency through vectorized operations and includes validation checks for proper signal pre-processing and parameter initialization.