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<h1>Information Coding and Decoding</h1> </div>
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<tr><td class="mdescLeft"> </td><td class="mdescRight">Constellation Decoder. <a href="classgr__constellation__decoder__cb.html#_details">More...</a><br/></td></tr>
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<tr><td class="mdescLeft"> </td><td class="mdescRight">y[0] = (x[0] - x[-1]) % MDifferential decoder <a href="classgr__diff__decoder__bb.html#_details">More...</a><br/></td></tr>
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<tr><td class="mdescLeft"> </td><td class="mdescRight">y[0] = (x[0] + y[-1]) % MDifferential encoder <a href="classgr__diff__encoder__bb.html#_details">More...</a><br/></td></tr>
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<tr><td class="mdescLeft"> </td><td class="mdescRight">pad packet with alternating 1,0 pattern.input: stream of byte vectors; output: stream of byte vectors <a href="classgr__fake__channel__encoder__pp.html#_details">More...</a><br/></td></tr>
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<tr><td class="mdescLeft"> </td><td class="mdescRight">remove fake padding from packetinput: stream of byte vectors; output: stream of byte vectors <a href="classgr__fake__channel__decoder__pp.html#_details">More...</a><br/></td></tr>
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<tr><td class="mdescLeft"> </td><td class="mdescRight">output[i] = map[input[i]] <a href="classgr__map__bb.html#_details">More...</a><br/></td></tr>
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<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classtrellis__encoder__si.html">trellis_encoder_si</a></td></tr>
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<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classtrellis__metrics__c.html">trellis_metrics_c</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Evaluate metrics for use by the Viterbi algorithm. <a href="classtrellis__metrics__c.html#_details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classtrellis__metrics__f.html">trellis_metrics_f</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Evaluate metrics for use by the Viterbi algorithm. <a href="classtrellis__metrics__f.html#_details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classtrellis__metrics__i.html">trellis_metrics_i</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Evaluate metrics for use by the Viterbi algorithm. <a href="classtrellis__metrics__i.html#_details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classtrellis__metrics__s.html">trellis_metrics_s</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Evaluate metrics for use by the Viterbi algorithm. <a href="classtrellis__metrics__s.html#_details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classtrellis__permutation.html">trellis_permutation</a></td></tr>
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