AIC Criterion for Source Number Estimation
MATLAB Source Code Implementation of AIC Criterion for Source Number Estimation
Estimating Source Number Using AIC and MDL Criteria with Algorithm Implementation
Implementation of source number estimation through Akaike Information Criterion (AIC) and Minimum Description Length (MDL) criteria, including eigenvalue-based algorithmic approaches
MUSIC Algorithm with Unknown Source Number Estimation Using AIC Criterion
MUSIC algorithm combined with AIC criterion for unknown source number detection, implementing source number estimation using AIC before applying MUSIC algorithm
Far-Field Incident Signal Number Estimation Based on AIC and MDL Criteria Developed in MATLAB Environment
Developed in MATLAB, this far-field incident signal number estimation method using AIC (Akaike Information Criterion) and MDL (Minimum Description Length) criteria achieves high estimation accuracy and demonstrates excellent simulation performance, making it suitable for practical signal processing applications.
MATLAB Code Implementation for AR Spectrum Estimation Function
AR Spectrum Estimation Function with Built-in Order Selection Based on FPE, AIC, and CAT Criteria
Source Number Estimation Algorithm AIC
Source Number Estimation Algorithm AIC – Implementation and Technical Insights
Determining AR Model Order Using Information Criteria: AIC, CAT and Other Methods
Applying AIC, CAT and Other Information Criteria for AR Model Order Selection with Implementation Guidelines
Determining Model Order in AR Model Algorithm
Calculating Model Order in AR Model Algorithm with Information Criteria