MATLAB Implementation of Bispectrum Analysis

Bispectrum analysis is a signal processing technique that decomposes signals into dual frequency components, specifically high-frequency and low-frequency elements. This methodology finds applications across multiple domains including signal processing, image analysis, and audio processing. The implementation provides capabilities for bispectral computation and graphical representation, allowing researchers to analyze frequency distributions and amplitude characteristics of signals. The MATLAB code employs advanced algorithms for third-order cumulant calculations and frequency domain transformations, utilizing built-in functions like fft and custom routines for symmetric matrix handling. These analytical tools facilitate comprehensive signal examination through higher-order spectral analysis. Should you have any technical inquiries regarding bispectrum implementation or require further clarification on the algorithmic approaches, please feel free to reach out for additional support.