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less strict requirements on mini-probe quality
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@ -191,7 +191,10 @@ class PhysicalLayer(object):
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a = symbols[32*i:32*(i+1)]
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a = symbols[32*i:32*(i+1)]
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success &= np.max(np.imag(np.mean(a.reshape(8,4),0))) < 0.25
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success &= np.max(np.imag(np.mean(a.reshape(8,4),0))) < 0.25
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elif self._frame_counter < self._num_frames_per_block-2:
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elif self._frame_counter < self._num_frames_per_block-2:
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success = np.mean(np.real(symbols[self._mode['unknown']:])) > 0.7
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success = np.mean(np.real(symbols[self._mode['unknown']:])) > 0.4 or np.max(np.imag(symbols[self._mode['unknown']:])) < 0.6
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if not success:
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print('aborting: ', symbols[self._mode['unknown']:], np.mean(np.real(symbols[self._mode['unknown']:])),
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np.max(np.imag(symbols[self._mode['unknown']:])))
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return [self.get_next_data_frame(success),self._mode['ci'],success,success]
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return [self.get_next_data_frame(success),self._mode['ci'],success,success]
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def get_next_data_frame(self, success):
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def get_next_data_frame(self, success):
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