Painless Extraction Noise Figure

Painless Extraction Noise Figure allows for the extraction and analysis of noise figure and gain data from Noise Figure Meters. Data analysis is performed on both parameters to provide a wide array of statistical information. After data retrieval, the data may be saved to a file for future use. The program currently works with the HP 8970A and HP 8970B Noise Figure Meters (contact us for additional models).

  • Retrieves noise figure and gain data via GPIB from Noise Figure Meters (HP 8970A, HP 8970B are currently supported)
  • Input Start, Stop, and Step frequencies to extract data across a specific band
  • A noise source ENR input table allows for ENR data to be sent to the meter.
  • View customizable noise figure vs frequency and gain vs frequency plots.
  • Analyze detailed statistical parameters.
  • Script files may be created, loaded, and saved to identify pass/fail points in the selected data.
  • A Test Results file may be saved to summarize the outcome of the pass/fail script file test.
  • Remove the hassle out of noise figure measurements!
This trial version has all features of the full version except for the following limitations:
  • The capability to save data to files is disabled
  • The analysis frequency range is limited to 225 - 250 MHz
The full version is available for purchase for $159.99 (US Dollars).

Screenshots:

Key Program Features
  • Retrieves noise figure and gain data via GPIB from Noise Figure Meters.
    • We currently support HP 8970A, and HP 8970B.
    • Contact us for information on adding support for additional meters.
  • Input Start, Stop, and Step frequencies to extract data across a specific band.
    • A noise source ENR input table allows for ENR data to be sent to the meter.
    • View customizable Noise Figure vs Frequency and Gain vs Frequency plots.
  • Analyze the following detailed statistical calculations.
    • Average
    • Minimum
    • Maximum
    • P-P Flatness
    • RMS
    • Standard Deviation
    • Slope of Best Fit Line (BFL)
    • Minimum Deviation from BFL
    • Maximum Deviation from BFL
    • P-P Variation from BFL
    • Store and retrieved data from text files.
    • Create, load, and save Script files to identify pass/fail points in the selected data.
    • Save a Test Results file to summarize the outcome of the pass/fail script file test.
  • Remove the hassle of taking noise figure measurements!