Vector vSignalyzer

vSignalyzer is a comprehensive tool designed for the professional display, evaluation, and documentation of measurement data. It offers extensive options for visualizing data, robust functions for both manual and automated analysis, and streamlined report generation. The tool efficiently handles large measurement files, providing a user-configurable display and direct integration with vMDM for easy access to managed data. Its data mining capabilities allow for automated analysis of vast datasets, while an extensive mathematical function library supports complex data analysis. Results can be easily exported to common office applications like Word and PowerPoint or printed reports.

Key Advantages:

• User-configurable display of acquired measurement data.
• Efficient operation with large measurement files.
• Direct link to vMDM for centralized data management.
• Automated analysis and data mining for extensive datasets.
• Fast search of measurement data through MDF file indexing.
• Extensive mathematical function library.
• Creation of meaningful reports and documentation.

Highlights of Version 24:

• Validation of ADAS algorithms: Visualize detected drivable areas and obstacles for assessing perception results.
• Thesaurus function: Automatic signal assignment for consistent analysis across different file sources.
• 100 GB cloud storage: Included with Vector Team Services for project and data exchange.

Supported File Formats:

• Directly supported: MDF-3.x, ASAM MDF-4.x, INCA DAT, XLS, XLSX, MATLAB MAT 7.3, HDF5, TDMS.
• Import converters available for: BLF, ASC, ASCII, ATFX, CLF, CSV, GLX, GPX, KME, NMEA 0183, PCAP, TTL, UBX, XLG, XLX.
• Conversion to: ASCII, MATLAB (M/MAT), Excel.

Optional Modules:

• Driver Assistance: Synchronously visualize logged sensor data with video, overlaying graphic objects for objective assessment of ADAS reliability.
• Thermodynamic State Charts: Display thermodynamic data synchronized with other measurements for offline analysis of air conditioning and cooling systems, utilizing a rich materials library.

System Requirements:

• Processor: Intel Core i5, 3.0 GHz or higher (Minimum: Intel Core 2 Duo, 2.6 GHz).
• Memory (RAM): 16 GB recommended (Minimum: 8 GB).
• Hard drive capacity: ≥ 10 GB.
• Screen Resolution: 1600 x 900 (Minimum: 1024 x 768).
• Graphics Card: DirectX 9.0c or higher.
• Operating System: Windows 10 (64 bit) / Windows 11 (64 bit).