Explore MATLAB source code curated for "评估" with clean implementations, documentation, and examples.
The Analytic Hierarchy Process (AHP) serves as a widely-used evaluation method where calculating the random consistency index constitutes a critical step. This program implements PI calculation functionality for AHP consistency validation through CI/RI computation algorithms.
Implementing ROC curve visualization for edge detection performance assessment using MATLAB's plotting functions and image processing toolbox.
The PESQ (Perceptual Evaluation of Speech Quality) metric evaluates speech quality using a MATLAB-compatible function syntax: [pesq_mos] = pesq('cleanfile.wav', 'enhanced.wav'). This function compares reference and processed audio files to generate a MOS-like score on a 1-5 scale (PESQ-MOS), where higher values indicate better perceptual quality. The implementation follows ITU-T P.862 standards for objective speech assessment.
The Autoregressive Markov Switching Model function is designed for evaluating, simulating, and forecasting autoregressive Markov switching models. It allows selection of appropriate distribution functions such as normal or t-distribution for model estimation. This tool is particularly valuable for investigating structural changes in time series data and supports research applications in finance, stock market analysis, and inflation studies. Key implementation aspects include state transition probability estimation and regime-dependent parameter specification.
Implementing Final Testing Procedures for Text Retrieval Systems in MATLAB