liquidinstruments/moku-examples
Nov 2024 – Sep 2025
6 Months active
Languages Used
ExcelvhdlMATLABVHDLPython
Technical Skills
Spreadsheet ManagementDSP DesignFFT ImplementationFPGA DevelopmentVHDLEmbedded Systems
Laura Becerra
PROFILE
Laura Becerra
Laura contributed to the liquidinstruments/moku-examples repository by developing hardware and software solutions for signal processing and data acquisition workflows. She implemented features such as Boxcar Averager configuration spreadsheets and consolidated VHDL modules to enable hardware cross-correlation, using VHDL and MATLAB for design and simulation. Laura also delivered a Schmitt Trigger component with cross-domain verification and created end-to-end microvolt measurement tooling that integrated Python APIs, MATLAB post-processing, and Jupyter notebooks. Her work emphasized reproducibility, maintainability, and workflow efficiency, addressing challenges in hardware configuration, signal stability, and low-amplitude data analysis through careful spreadsheet management and embedded systems expertise.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
6
Lines of code
155,903
Activity Months6
Your Network
23 peopleSame Organization
@liquidinstruments.com10
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for liquidinstruments/moku-examples focusing on end-to-end microvolt measurement tooling for Moku:Pro. Delivered a cohesive data acquisition and analysis workflow including Python API, MATLAB post-processing script, and a Jupyter notebook to acquire microvolt-scale signals, perform averaging and error analysis of demodulated data, and interpret results as Morse code. The work strengthens the microvolt measurement capabilities for researchers and accelerates experimental throughput, aligning with APPS-408 use-case.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for liquidinstruments/moku-examples focusing on end-to-end microvolt measurement tooling for Moku:Pro. Delivered a cohesive data acquisition and analysis workflow including Python API, MATLAB post-processing script, and a Jupyter notebook to acquire microvolt-scale signals, perform averaging and error analysis of demodulated data, and interpret results as Morse code. The work strengthens the microvolt measurement capabilities for researchers and accelerates experimental throughput, aligning with APPS-408 use-case.
September 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for liquidinstruments/moku-examples: Delivered the Boxcar Averager Configuration Spreadsheets feature to enable dual boxcar averaging configuration via a dedicated control spreadsheet, and updated the existing single boxcar spreadsheet to reflect current configuration and control values on the Moku device. No major bugs fixed this month in this repository. Impact: improves configurability, reproducibility, and setup efficiency for experiments relying on boxcar averaging. Technologies demonstrated: spreadsheet-driven configuration, device workflow synchronization, and version-controlled changes.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for liquidinstruments/moku-examples: Delivered the Boxcar Averager Configuration Spreadsheets feature to enable dual boxcar averaging configuration via a dedicated control spreadsheet, and updated the existing single boxcar spreadsheet to reflect current configuration and control values on the Moku device. No major bugs fixed this month in this repository. Impact: improves configurability, reproducibility, and setup efficiency for experiments relying on boxcar averaging. Technologies demonstrated: spreadsheet-driven configuration, device workflow synchronization, and version-controlled changes.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered Schmitt Trigger functionality for the liquidinstruments/moku-examples repo, introducing hardware description in VHDL and simulation/modeling in MATLAB to improve noise immunity and provide stable signal processing in digital systems. Contributed a focused commit adding VHDL and model files (09051f94a77b9a9b42f2bcad1a03747211e1fded), enabling validated behavior through cross-domain verification. The work establishes a reusable trigger component for future DSP/FPGA projects, reduces debugging cycles, and enhances demo reliability for signal conditioning features.
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered Schmitt Trigger functionality for the liquidinstruments/moku-examples repo, introducing hardware description in VHDL and simulation/modeling in MATLAB to improve noise immunity and provide stable signal processing in digital systems. Contributed a focused commit adding VHDL and model files (09051f94a77b9a9b42f2bcad1a03747211e1fded), enabling validated behavior through cross-domain verification. The work establishes a reusable trigger component for future DSP/FPGA projects, reduces debugging cycles, and enhances demo reliability for signal conditioning features.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for liquidinstruments/moku-examples: Delivered hardware cross-correlation capability by consolidating FFT-related VHDL modules. Consolidation reduces module fragmentation, improves maintainability, and sets the foundation for robust cross-correlation processing in hardware. Key commit: 56a6f1bf53e1cbfcf7f208d4186b8b74a2ab63da: Add consolidated cross-correlation vhdl files. No major bugs fixed this month in this repository. Overall impact: enhanced hardware processing capability, streamlined VHDL architecture, and clearer upgrade path. Technologies/skills demonstrated: VHDL module consolidation, hardware cross-correlation design, version control discipline, integration testing readiness.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for liquidinstruments/moku-examples: Delivered hardware cross-correlation capability by consolidating FFT-related VHDL modules. Consolidation reduces module fragmentation, improves maintainability, and sets the foundation for robust cross-correlation processing in hardware. Key commit: 56a6f1bf53e1cbfcf7f208d4186b8b74a2ab63da: Add consolidated cross-correlation vhdl files. No major bugs fixed this month in this repository. Overall impact: enhanced hardware processing capability, streamlined VHDL architecture, and clearer upgrade path. Technologies/skills demonstrated: VHDL module consolidation, hardware cross-correlation design, version control discipline, integration testing readiness.
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for liquidinstruments/moku-examples focusing on delivered updates to binary spreadsheet artifacts that affect hardware control values and a corrective bug fix to ensure accurate scaling. Highlights include updates to Boxcar attenuation configuration in spreadsheet files and a bug fix for scale factor calculation in the Boxcar_Moku_Control_Values.xlsm. Changes were applied directly to binary spreadsheet assets (no code changes), with deterministic commits enabling reproducibility across builds.
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for liquidinstruments/moku-examples focusing on delivered updates to binary spreadsheet artifacts that affect hardware control values and a corrective bug fix to ensure accurate scaling. Highlights include updates to Boxcar attenuation configuration in spreadsheet files and a bug fix for scale factor calculation in the Boxcar_Moku_Control_Values.xlsm. Changes were applied directly to binary spreadsheet assets (no code changes), with deterministic commits enabling reproducibility across builds.
December 2024
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for liquidinstruments/moku-examples focusing on Boxcar HDL Coder enhancements. The primary delivery this month was a new reference spreadsheet that enables precise configuration and validation of the Boxcar functionality within the HDL Coder workflow. This aligns with the goal of increasing configuration accuracy, reducing setup time, and improving reproducibility across Boxcar-enabled builds.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for liquidinstruments/moku-examples focusing on Boxcar HDL Coder enhancements. The primary delivery this month was a new reference spreadsheet that enables precise configuration and validation of the Boxcar functionality within the HDL Coder workflow. This aligns with the goal of increasing configuration accuracy, reducing setup time, and improving reproducibility across Boxcar-enabled builds.
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Quality Metrics
Correctness88.8%
Maintainability87.6%
Architecture85.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
ExcelMATLABPythonVHDLvhdl
Technical Skills
DSP DesignData AcquisitionEmbedded SystemsFFT ImplementationFPGA DevelopmentHDL DesignHardware Description LanguageMATLABMATLAB/SimulinkPythonScientific ComputingSignal ProcessingSpreadsheet ManagementVHDL
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