VOA Radiogram is now Shortwave Radiogram. Please visit swradiogram.net


VOA Radiogram is a Voice of America program experimenting with digital text and images via shortwave broadcasting. It is produced and presented by Dr. Kim Andrew Elliott.

VOA Radiogram is now Shortwave Radiogram. Please visit swradiogram.net


VOA Radiogram is a Voice of America program experimenting with digital text and images via shortwave broadcasting. It is produced and presented by Dr. Kim Andrew Elliott.

VOA Radiogram transmission schedule
(all days and times UTC):
Sat 0930-1000 5745 kHz
Sat 1600-1630 17580 kHz
Sun 0230-0300 5745 kHz
Sun 1930-2000 15670 kHz
All via the Edward R. Murrow transmitting station in North Carolina.

To decode the digital text and images transmitted on VOA Radiogram, download Fldigi, Flmsg and Flamp from w1hkj.com. See also how to decode the modes.

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  • VOA Radiogram, 23-24 November 2013, in YouTube videos

    Tim, K0RUS, in Colorado produced this YouTube video of his reception and decoding of VOA Radiogram, 23 November 2013, 1600-1630 UTC. The MFSK images in his video show the slant that was a problem during the weekend. You can decode the broadcast using the audio from this video, with unslanted images if you make this adjustment in Fldigi: Configure > Sound Card > Settings > under Corrections, set RX ppm to -2250.  

    http://youtu.be/7IRQgOCJ8r8

    Tim produced another YouTube video from his reception 24 November 2013, 1930-2000 UTC, on 15670 kHz. This time the MFSK images are unslanted because he made the RX ppm correction before the broadcast:

    http://youtu.be/iEbLAkgs3rU

    Marco, IK0DWN, in Italy provided this video of his reception, same time, same frequency, also with the -2250 ppm RX correction:

    http://youtu.be/Kh533TyRP1U

    Gary, NC3Z, in Maryland produced this YouTube video of his reception 24 November 2013, 1300-1330 UTC, on 6095 kHz. Typically the signal strength on 6095 kHz from the North Carolina transmitter is very big in the US mid-Atlantic region. The RX ppm adjustment was not made, so the images are slanted. You can decode unslanted as described above:

    http://youtu.be/gSI5g1wim7w

    image
    • November 29, 2013 (7:35 am)