Function for Computing Signal Cyclic Spectrum

This article introduces a practical function designed for computing cyclic spectrum diagrams of digitally modulated signals. The function implements cyclic spectral analysis algorithms to process input signal data and stores the computational results in the output variable sxf. To visualize the cyclic spectrum, users can employ MATLAB's surf function for 3D surface plotting combined with shading interp for smooth interpolation between data points. The function accepts configurable parameters that allow customization of spectral resolution and analysis windows, enabling different visualization effects and analytical perspectives. Key implementation aspects include proper signal windowing techniques and Fourier-based spectral processing to ensure accurate cyclic frequency representation. This tool finds extensive applications in signal processing and communications engineering, particularly for analyzing modulation characteristics, detecting cyclostationary features, and identifying signal patterns in digital communication systems.