spm/spm
Aug 2025 – Sep 2025
2 Months active
Languages Used
MATLAB
Technical Skills
Bayesian InferenceMATLAB DevelopmentSignal ProcessingSoftware EngineeringStatistical ModelingTime Series Analysis
Johan Medrano
PROFILE
Johan Medrano
Developed and delivered the Bayesian Spectral Decomposition Toolbox (BSD) for the spm/spm repository, enabling comprehensive Bayesian analysis of cross-spectral density data in MATLAB. The work encompassed model specification, parameter estimation, and results visualization, with supporting utilities for parameter conversion and data processing. Emphasizing reliability, robust input validation and batch frequency handling were implemented to ensure data integrity and compatibility across analyses. The approach leveraged MATLAB scripting, Bayesian inference, and signal processing techniques to streamline research workflows and reduce runtime errors. These contributions enhanced the SPM toolbox’s analytical capabilities and improved reproducibility for users conducting advanced statistical modeling and time series analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
3,493
Activity Months2
Your Network
129 peopleShared Repositories
22
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025Month 2025-09 monthly summary for spm/spm: Focused on reliability and data integrity improvements in Spm_bsd. Delivered robust input validation and batch frequency handling to ensure proper formatting, validation of frequency vectors and data arrays, and compatibility across analyses. Updated batch processing to correctly interpret numerical and range inputs for frequencies, reducing runtime errors and improving reproducibility.
1 Commits • 1 Features
Sep 1, 2025Month 2025-09 monthly summary for spm/spm: Focused on reliability and data integrity improvements in Spm_bsd. Delivered robust input validation and batch frequency handling to ensure proper formatting, validation of frequency vectors and data arrays, and compatibility across analyses. Updated batch processing to correctly interpret numerical and range inputs for frequencies, reducing runtime errors and improving reproducibility.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025: Delivered the Bayesian Spectral Decomposition Toolbox (BSD) for SPM in spm/spm, enabling end-to-end Bayesian analysis of cross-spectral density data. The toolbox supports model specification, parameter estimation, and results visualization, with helper utilities for parameter conversion and data processing, and model inversion. This work enhances data-driven insights, accelerates research workflows, and strengthens the SPM toolbox with robust Bayesian capabilities.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025: Delivered the Bayesian Spectral Decomposition Toolbox (BSD) for SPM in spm/spm, enabling end-to-end Bayesian analysis of cross-spectral density data. The toolbox supports model specification, parameter estimation, and results visualization, with helper utilities for parameter conversion and data processing, and model inversion. This work enhances data-driven insights, accelerates research workflows, and strengthens the SPM toolbox with robust Bayesian capabilities.
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Quality Metrics
Correctness90.0%
Maintainability85.0%
Architecture85.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MATLAB
Technical Skills
Array ManipulationBayesian InferenceData ValidationError HandlingMATLAB DevelopmentMATLAB ScriptingSignal ProcessingSoftware EngineeringStatistical ModelingTime Series Analysis
Repositories Contributed To
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