M-Sequence Ambiguity Function with MATLAB Implementation

I have developed a MATLAB-based ambiguity function generator for M-sequences that produces both two-dimensional and three-dimensional simulation plots, providing clear visualization of data ambiguity characteristics. The implementation utilizes MATLAB's plotting functions (plot3 and surf for 3D visualization, contour and imagesc for 2D representation) to display the ambiguity function surface. The algorithm calculates the autocorrelation properties of M-sequences using shift-and-compare operations, with customizable sequence length and modulation parameters. The function includes comprehensive data reporting features that output quantitative metrics such as ambiguity resolution, sidelobe levels, and mainlobe width measurements. Users can customize plot settings including colormaps, viewing angles, and resolution parameters through input arguments to enhance visual clarity. The core functionality employs vectorized operations for efficient computation of large sequences, with optional progressive rendering for real-time observation of ambiguity surface formation. Whether processing large datasets or conducting in-depth ambiguity analysis, this implementation provides accurate and comprehensive analytical services with professional-grade visualization outputs.