Optimization of Measurement Procedures through Basis Function Alteration ID: 2018-041

An innovative approach to optimizing measurement systems by altering basis functions for more efficient data acquisition.

Technology Overview

This technology revolutionizes measurement procedures by adjusting the basis functions used in systems where the subject has a sparse representation. By distributing information more uniformly across the measurement space, it achieves reduced dynamic range and signal-to-noise ratio requirements. This enables the use of less expensive detectors, faster measurements, and more precise data acquisition with existing detectors.

Key Advantages

• Enables the use of less expensive detection equipment
• Facilitates faster data acquisition processes
• Improves the precision of data acquisition without needing more advanced detectors
• Reduces the dynamic range and signal-to-noise ratio requirements

Problems Addressed

• High costs associated with advanced detection equipment
• Lengthy data acquisition times in current measurement systems
• High dynamic range and signal-to-noise ratio requirements that limit the efficiency of data collection
• Difficulty in inferring missing information due to non-smooth data

Market Applications

• MRI imaging enhancements by requiring lower dynamic ranges
• Interference pattern structured illumination with altered measurement bases
• Any measurement system where the subject has a sparse representation, seeking more efficient data acquisition

Additional Information

Technology ID: 2018-041
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Date Published: 28 March, 2025