Continuous Profile Models (CPM) MATLAB Toolbox: Implementation and Analysis Tools

The Continuous Profile Models (CPM) MATLAB Toolbox provides a robust framework for analyzing diverse data types such as time series, image data, and spatial datasets. Key algorithms include profile extraction and statistical modeling techniques, implemented through functions like cpm_fit() for parameter estimation and cpm_predict() for generating model-based forecasts. The toolbox employs optimization methods for curve fitting and includes visualization tools to plot continuous profiles with customizable parameters via the cpm_plot() function. With an intuitive GUI and script-based interfaces, users can perform advanced analyses such as trend detection, pattern recognition, and anomaly identification using built-in modules like cpm_detect(). Additional features support data preprocessing, model validation, and report generation through integrated utilities, enabling researchers and engineers to streamline workflows. The toolbox’s modular design allows extension via user-defined functions, facilitating custom analysis pipelines for specialized applications. Download the CPM MATLAB Toolbox to leverage its comprehensive suite of tools for unlocking insights from complex datasets.