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<div class=Section1>
<p class=MsoNormal><span lang=EN-US>All,<o:p></o:p></span></p>
<p class=MsoHeader><span lang=EN-US>The appearance of openHPSDR at the HAM
RADIO Friedrichshafen 2016 will be split in two sessions.<o:p></o:p></span></p>
<p class=MsoHeader><span lang=EN-US>At 11.55 to 13:45 CEST on Saturday, 26<sup>th</sup>of
June, as part of HPSDR block of the SDR Academy ( <a
href="http://www.darc.de/home/details/article/sdra-programm-2016-ist-fertig/">http://www.darc.de/home/details/article/sdra-programm-2016-ist-fertig/</a>
)our top developers will report about new and sophisticated projects:<o:p></o:p></span></p>
<p class=MsoHeader><span lang=EN-US> <o:p></o:p></span></p>
<p class=Default style='margin-left:18.0pt;text-indent:-18.0pt;mso-list:l0 level1 lfo1'><![if !supportLists]><span
lang=EN-US style='font-size:11.0pt;font-family:Symbol'><span style='mso-list:
Ignore'>·<span style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='font-size:11.0pt;
font-family:"Calibri","sans-serif"'>John Melton, G0ORX/N6LYT:
‘Stand-alone HPSDR Transceiver using low-cost processors’.<b><i> </i></b></span><span
lang=EN-US style='font-size:11.0pt;font-family:"Calibri","sans-serif"'>Software,
specifically written to run on low-cost ARM processors such as the Raspberry Pi
2, Odroid C1+ and Pine 64, supports all HPSDR/Apache Labs radios using both the
original Ethernet protocol and the new protocol. The software uses a version of
WDSP that has been ported to Linux and has been written in C, using GTK+ for
the GUI toolkit, to work with a small touch screen display (typically 800x480)
and supports rotary encoders and push buttons along with the touch screen for a
"Knobs and Buttons" user interface. John will present a powerful
direct-sampling SDR solution for QRP and portable operation.</span><span
lang=EN-US style='font-size:11.0pt;font-family:"Calibri","sans-serif"'><o:p></o:p></span></p>
<p class=Default><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri","sans-serif"'><o:p> </o:p></span></p>
<p class=MsoListParagraph style='margin-left:18.0pt;text-indent:-18.0pt;
mso-list:l0 level1 lfo1'><![if !supportLists]><span lang=EN-US
style='font-family:Symbol;color:black'><span style='mso-list:Ignore'>·<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='color:black'>Phil
Harman, VK6PH: ‘Direct Fourier Conversion (DFC) – An
alternative architecture for<b><i> </i></b>Software<b><i> </i></b>Defined
Radios’. <b><i> </i></b>Most of the latest SDRs use an Analogue to
Digital Converter (ADC) close to the antenna followed by Digital Down
Conversion (DDC). DDC is usually performed in an FPGA or ASIC and is used
to reduce the bandwidth and data rate of the samples that are subsequently
processed by a microprocessor, PC or single board computer. However,
with the availability of low cost and high performance Graphics Processing Units
(GPUs) an alternative architecture can be used that has a number of
advantages over the current DDC approach. Phil will present the
theory and some practical examples of this alternative architecture. <o:p></o:p></span></p>
<p class=MsoPlainText style='margin-left:18.0pt;text-indent:-18.0pt;mso-list:
l0 level1 lfo1'><![if !supportLists]><span lang=EN-US style='font-size:11.0pt;
font-family:Symbol'><span style='mso-list:Ignore'>·<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='font-size:11.0pt;
font-family:"Calibri","sans-serif";color:black'>Dr. Warren C. Pratt,
NR0V: ‘</span><span lang=EN-US style='font-size:11.0pt;font-family:
"Calibri","sans-serif"'>Advanced Algorithms for Noise Blanking and Noise
Reduction’.<b><i> </i></b>Wideband noise-blankers and LMS
noise-reduction algorithms are commonplace in modern SDRs. With today's
CPU power, more advanced algorithms offering superior performance are<b><i> </i></b>also
available. Warren focuses on two such algorithms implemented in 2015 in the
WDSP library used for the openHPSDR program: 1. The Spectral Noise Blanker uses
linear predictive coding and often removes impulse noise under conditions where
wideband blankers are ineffective. Impulses are detected by comparing the
observed waveform with a predicted waveform. Impulses are corrected by
recreating an estimate of corrupt portions of the original waveform using
spectral information. 2. The Spectral Noise Reduction algorithm operates in the
frequency domain and, based upon statistical models of speech and noise,
reduces random noise much more effectively than LMS algorithms. The
seminal work for this approach was published by Yariv Ephraim and David Malah
in 1984. However, the state of the art has advanced substantially over
the past thirty years.<b><i><o:p></o:p></i></b></span></p>
<p class=MsoPlainText><b><i><span lang=EN-US style='font-size:11.0pt;
font-family:"Calibri","sans-serif"'><o:p> </o:p></span></i></b></p>
<p class=MsoPlainText style='margin-left:18.0pt;text-indent:-18.0pt;mso-list:
l0 level1 lfo1'><![if !supportLists]><span lang=EN-US style='font-size:11.0pt;
font-family:Symbol;color:black'><span style='mso-list:Ignore'>·<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='font-size:11.0pt;
font-family:"Calibri","sans-serif"'>Adam Farson, VA7OJ/AB4OJ:’Evaluating
Digital Receivers’ The second and third-order intercept points (IP2 and
IP3) are figures of merit for TRX specifications and allow distortion products
to be computed for various signal amplitudes. Advanced SDR designs
employing the ADC close to the antenna, require modified test methods to
characterize strong signal performance. Terms like IP3 or intermodulation-free
dynamic range fail and also terms like dither or random noise get meaning.
Noise Power Ratio (NPR) an old test procedure can be very useful to benchmark
SDRs and legacy analogue concepts as well. Adam will explain some fundamentals
and test results.</span><span lang=EN-US style='font-size:11.0pt;font-family:
"Calibri","sans-serif";color:black'><o:p></o:p></span></p>
<p class=MsoListParagraph><span lang=EN-US style='color:black'><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-US style='font-size:11.0pt;font-family:
"Calibri","sans-serif";color:black'>At 14.00 CEST – after a short break -
we will continue until 16.00 with the HPSDR forum to dive a bit deeper into a/m
themes and to answer specific questions of HPSDR/ANAN users. Adam, John, Phil,
Warren and others will be happy to inform SDR prospects about the advanced
HPSDR technology.<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-US style='font-size:11.0pt;font-family:
"Calibri","sans-serif";color:black'><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-US style='font-size:11.0pt;font-family:
"Calibri","sans-serif";color:black'>See you in Friedrichshafen!<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-US style='font-size:11.0pt;font-family:
"Calibri","sans-serif";color:black'><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-US style='font-size:11.0pt;font-family:
"Calibri","sans-serif";color:black'>73, Helmut, DC6NY <o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-US style='font-size:11.0pt;font-family:
"Calibri","sans-serif";color:black'><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-US style='font-size:11.0pt;font-family:
"Calibri","sans-serif";color:black'><o:p> </o:p></span></p>
<p class=MsoNormal><o:p> </o:p></p>
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