ibs-lab/cedalion
Nov 2024 – Nov 2024
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Algorithm ImplementationData ScienceNumerical AnalysisSignal Processing
Isa Musisi
PROFILE
Isa Musisi
Developed and integrated an Automatic Multiscale Peak Detection (AMPD) feature for the ibs-lab/cedalion repository, focusing on robust signal processing for noisy data. The implementation exposed the AMPD algorithm as a reusable Python module, leveraging numerical analysis and data science techniques to process signals in overlapping chunks using a local scalogram matrix for reliable peak detection. Work included a Jupyter Notebook demonstrating AMPD’s application to NIRS data, supporting rapid adoption and cross-team reuse. No major bugs were addressed during this period, as the primary emphasis was on delivering a well-documented, production-ready feature with clear business value for signal analysis workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
539
Activity Months1
Your Network
11 peopleWork History
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 – ibs-lab/cedalion: Primary focus on delivering a robust signal-processing feature with clear business value. No major bugs documented for this period; the emphasis was on feature delivery and demonstration assets to enable rapid adoption and reuse across teams.
1 Commits • 1 Features
Nov 1, 2024November 2024 – ibs-lab/cedalion: Primary focus on delivering a robust signal-processing feature with clear business value. No major bugs documented for this period; the emphasis was on feature delivery and demonstration assets to enable rapid adoption and reuse across teams.
November 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Algorithm ImplementationData ScienceNumerical AnalysisSignal Processing
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