Data Compression and Restoration Using Sequential Algorithms ID: 2013-069

This invention presents a novel method for significantly reducing the storage and transmission resources required for large data sets through advanced data compression and restoration techniques.

Technology Overview

This technology combines proper orthogonal decomposition (POD) with image compression algorithms, such as JPEG, to achieve high compression ratios. It is uniquely capable of handling irregularly shaped data sets and compresses actual numerical values, setting it apart from existing methods that primarily focus on digitized data. Originally developed to support fields generating large volumes of data, such as computational fluid dynamics and high-frequency measurements, this method improves efficiency in data storage and transmission.

Key Advantages

• Significantly reduces the resources needed for storage and transmission of large data sets
• Capable of compressing irregularly shaped data sets, expanding its applicability
• Focuses on compressing numerical values directly, offering a more efficient approach than traditional digitized data compression
• Utilizes a combination of POD and known image compression algorithms for higher compression ratios

Problems Addressed

• High resource demand for storage and transmission of large data sets
• Limited applicability of existing compression methods to irregularly shaped data sets
• Inefficiencies in compressing numerical data with traditional digitized data compression techniques

Market Applications

• Data processing services requiring efficient storage and transmission solutions
• Computational fluid dynamics simulations needing reduced data storage capacity
• High-frequency measurement applications looking for improved data compression methods
• Potential licensing opportunities for companies specializing in data acquisition and processing

Additional Information

Technology ID: 2013-069
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Date Published: 13 May, 2025