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MEMSSignal ProcessingPythonColumbia University · 2024

Advanced Sensor Characterization & Analysis

MEMS sensor performance characterization — noise floors, bandwidth, sensitivity, and cross-axis sensitivity using oscilloscopes and Python signal processing.

Measurement & Analysis

About This Project

Characterized the performance of MEMS (Micro-Electro-Mechanical Systems) sensors across multiple measurement dimensions: noise floor, bandwidth, sensitivity, and cross-axis sensitivity. Measurements were captured using oscilloscopes and analyzed with Python scripts to extract quantitative performance metrics.

The project covered multiple sensor types and operating conditions, producing a comprehensive characterization report with signal-to-noise ratio analysis, frequency response plots, and cross-axis interference quantification — critical parameters for real-world sensor deployment.

Course
MEMS & Sensors — Columbia
Year
2024
Skills
MEMS, Python, Signal Processing, Oscilloscope Measurement
Outcome
Full sensor characterization report with noise, bandwidth, and sensitivity data