liquidinstruments/moku-examples
Apr 2025 – Jun 2026
5 Months active
Languages Used
PythonJupyter NotebookVHDL
Technical Skills
Data AnalysisEmbedded SystemsPython ProgrammingSignal ProcessingFilter DesignFrequency Response Analysis
dylan-perez
PROFILE
Dylan-perez
Contributed a series of end-to-end measurement and signal processing workflows to the liquidinstruments/moku-examples repository, focusing on automating and validating hardware-in-the-loop experiments. Developed Python and MATLAB examples for FIR filter tracking, oscilloscope waveform averaging, and frequency response analysis, enabling reproducible data acquisition, real-time visualization, and rolling average computations. Enhanced embedded systems support by expanding FPGA-based timing control in the Boxcar module using VHDL, improving measurement flexibility. Additionally, introduced DevOps improvements such as contributor documentation and pre-commit hooks to streamline onboarding and maintainability. The work emphasized practical, user-facing demonstrations and robust documentation to accelerate adoption and collaborative development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
5
Lines of code
4,407
Activity Months5
Your Network
27 peopleSame Organization
@liquidinstruments.com12
Shared Repositories
15
Ben NizetteMember
Brian NeffMember
EC2 Default UserMember
EC2 Default UserMember
Heyang LongMember
Indira Shinn ReesMember
jasonliquidinstMember
jobinMember
lauralbecerraMember
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly achievements for liquidinstruments/moku-examples: Delivered a MATLAB Rolling Average Example for Oscilloscope Data and implemented project-wide maintainability enhancements to streamline setup, contribution, and onboarding. This creates a reproducible demonstration and improves code quality and collaboration.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly achievements for liquidinstruments/moku-examples: Delivered a MATLAB Rolling Average Example for Oscilloscope Data and implemented project-wide maintainability enhancements to streamline setup, contribution, and onboarding. This creates a reproducible demonstration and improves code quality and collaboration.
June 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for liquidinstruments/moku-examples focused on enhancing timing control in the Boxcar module. Implemented Timing Gate Width Expansion by increasing the trigger delay bit-width from 16 to 32 bits to allow wider gate separation and more precise timing control. Commit 39b1e7131451b4b7f2e5fd6da1fbf3fe7c8b0655 updated the boxcar for wider gate separation. No major bugs fixed this month. Business impact: improved measurement accuracy and flexibility for time-critical experiments, reducing workaround efforts and enabling broader usage scenarios. Skills demonstrated include firmware-level timing control, 32-bit parameter handling, and Git-based change management in a collaborative repo.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for liquidinstruments/moku-examples focused on enhancing timing control in the Boxcar module. Implemented Timing Gate Width Expansion by increasing the trigger delay bit-width from 16 to 32 bits to allow wider gate separation and more precise timing control. Commit 39b1e7131451b4b7f2e5fd6da1fbf3fe7c8b0655 updated the boxcar for wider gate separation. No major bugs fixed this month. Business impact: improved measurement accuracy and flexibility for time-critical experiments, reducing workaround efforts and enabling broader usage scenarios. Skills demonstrated include firmware-level timing control, 32-bit parameter handling, and Git-based change management in a collaborative repo.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered an end-to-end Oscilloscope Waveform Averaging Demo in liquidinstruments/moku-examples, showcasing an automated Python workflow for configuring the oscilloscope, acquiring data, and computing/displaying a rolling average in real-time. The feature provides a practical blueprint for users to implement signal averaging and enhances the Moku platform’s data-analysis capabilities.
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered an end-to-end Oscilloscope Waveform Averaging Demo in liquidinstruments/moku-examples, showcasing an automated Python workflow for configuring the oscilloscope, acquiring data, and computing/displaying a rolling average in real-time. The feature provides a practical blueprint for users to implement signal averaging and enhances the Moku platform’s data-analysis capabilities.
October 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for liquidinstruments/moku-examples: Delivered FIR Filter Box Instrument Usage and FRA Analysis Examples with multi-instrument support. Added end-to-end examples for configuring the FIR Filter Box instrument on Moku devices, including setup of filter shapes (lowpass, highpass, bandpass, bandstop) and configuring the Frequency Response Analyzer to analyze performance. Implemented a multi-instrument workflow to run FIR filtering and FRA concurrently, enabling streamlined experiments and performance evaluation. This work is anchored by the commit: 2ec2a3d086b18cd8dfd384e8507396bc396a616c.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for liquidinstruments/moku-examples: Delivered FIR Filter Box Instrument Usage and FRA Analysis Examples with multi-instrument support. Added end-to-end examples for configuring the FIR Filter Box instrument on Moku devices, including setup of filter shapes (lowpass, highpass, bandpass, bandstop) and configuring the Frequency Response Analyzer to analyze performance. Implemented a multi-instrument workflow to run FIR filtering and FRA concurrently, enabling streamlined experiments and performance evaluation. This work is anchored by the commit: 2ec2a3d086b18cd8dfd384e8507396bc396a616c.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary focused on delivering a Python-based DFRT (Dual Frequency Resonance Tracker) example for automating FIR center frequency tracking in the liquidinstruments/moku-examples repository. The work enabled end-to-end measurement workflows, including setup, data logging, plotting, and error calculation to validate DFRT accuracy. This contributes to faster prototyping, improved validation, and a reusable reference for customers and contributors.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary focused on delivering a Python-based DFRT (Dual Frequency Resonance Tracker) example for automating FIR center frequency tracking in the liquidinstruments/moku-examples repository. The work enabled end-to-end measurement workflows, including setup, data logging, plotting, and error calculation to validate DFRT accuracy. This contributes to faster prototyping, improved validation, and a reusable reference for customers and contributors.
April 2025
Activity
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Quality Metrics
Correctness88.0%
Maintainability84.0%
Architecture84.0%
Performance76.0%
AI Usage32.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonVHDL
Technical Skills
Data AcquisitionData AnalysisData VisualizationDevOpsDocumentationEmbedded SystemsFPGA designFilter DesignFrequency Response AnalysisMATLABPythonPython APIPython API IntegrationPython ProgrammingSignal Processing
Repositories Contributed To
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