Streaming Real-Time Analysis into Matlab
Are you developing, integrating or testing large embedded or real-time systems and find analysis and data handling a multi-step and time consuming process?
Sophisticated, complex, resource constrained and time sensitive applications have traditionally archived application data in application-specific text or binary archives. Text archives provide portability and ease of data handling, but are large and compute intensive and thus limit what data can be saved. Binary archives, while maximizing run-time performance, add complexity and custom tools to the post processing and analysis process.
FishEye’s Real Time Plaftorm (RTTK) eliminates data handling and streamlines analysis.
Find out how FishEye’s Real-Time Platform (RTTK) can change how you build time-critical systems to turn time-consuming 5-step post-process analysis into zero-step real-time analysis to:
- Capture application data in a portable, open and self-describing data archive.
- Stream and downsize engineering data to Matlab in real time to plot and analyze while you run
- Down-size your application’s fire hose of big data on-the-fly to capture only what you need when you need it
- Open archived application data in a Matlab native format and eliminate the need for post-processing software or waiting for Matlab to import text data.
Engineers from FishEye will show you how real-time and embedded system development, integration and test teams can use FishEye’s Real-Time Platform to move to an open, portable archive with real-time analysis.
To learn more or for a free system assessment, contact us.
Real Time Platform for Machine Data
Life Cycle Applications
Open Configurable Data Capture