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Re: [Discuss-gnuradio] OFDM on E100


From: Philip Balister
Subject: Re: [Discuss-gnuradio] OFDM on E100
Date: Mon, 14 Nov 2011 09:13:44 -0500
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On 11/13/2011 11:10 PM, Marcus D. Leech wrote:
> On 11/13/2011 11:00 PM, Josh Blum wrote:
>> It looks like the ofdm blocks are using a fair amount of multiply and
>> multiply const blocks:
>>
>>> gr-digital$ find -name "*ofdm*" | xargs grep mult
>>> ./python/ofdm_sync_ml.py:        self.mixer = gr.multiply_cc();
>>> ./python/ofdm_sync_ml.py:        # The output theta of the correlator
>>> above is multiplied with this correlation to
>>> ./python/ofdm_sync_ml.py:        self.mul = gr.multiply_ff()
>>> ./python/ofdm_receiver.py:            self.chan_filt =
>>> gr.multiply_const_cc(1.0)
>>> ./python/ofdm_receiver.py:        self.sigmix = gr.multiply_cc()
>>> ./python/ofdm_sync_pn.py:        self.corr = gr.multiply_cc();
>>> ./python/ofdm_sync_pn.py:        self.square = gr.multiply_ff()
>>> ./python/ofdm_packet_utils.py:    to get to a multiple of 8.
>>> ./python/ofdm_packet_utils.py:    # pad to multiple of 8
>>> ./python/ofdm_packet_utils.py:    up being a multiple of 512 bytes
>>> when sent across the USB.  We
>>> ./python/ofdm_packet_utils.py:    is a multiple of 128 samples.
>>> ./python/ofdm.py:        @param pad_for_usrp: If true, packets are
>>> padded such that they end up a multiple of 128 samples
>>> ./python/ofdm.py:        self.scale = gr.multiply_const_cc(1.0 /
>>> math.sqrt(self._fft_length))
>>> ./python/ofdm_sync_pnac.py:        self.corr = gr.multiply_cc();
>> I bet many of these multiply consts could be simplified out. But, doing
>> little things like replacing the multiplier implementation with one
>> optimized with the SIMD unit makes a big difference, especially on a arm
>> where NEON>>  FPU.
>>
>> So, there is a multiply and multiply const for floats that has been
>> optimized in my gr-basic branch. You may want to try using those blocks
>> instead. http://gnuradio.org/cgit/jblum.git/log/?h=gr_basic
>>
>> -Josh
> The main transform in an OFDM transmitter, though, is an inverse FFT,
> and I assume those blocks use the built-in FFTW implementation,
>   rather than doing their own.
> 

Make sure you are using the fftw 3.3.1 beta that includes the NEON SIMD
code. The OpenEmbedded recipe is updated to use that version now.

Philip



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