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<a href="#pub-methods">Public Member Functions</a> |
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<h1>trellis_encoder_ss Class Reference<div class="ingroups"><a class="el" href="group__coding__blk.html">Information Coding and Decoding</a></div></h1> </div>
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<!-- doxytag: class="trellis_encoder_ss" --><!-- doxytag: inherits="gr_sync_block" -->
<p>Convolutional encoder.
<a href="#_details">More...</a></p>
<p><code>#include <<a class="el" href="trellis__encoder__ss_8h_source.html">trellis_encoder_ss.h</a>></code></p>
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Inheritance diagram for trellis_encoder_ss:</div>
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<map name="trellis__encoder__ss_inherit__map" id="trellis__encoder__ss_inherit__map">
<area shape="rect" id="node2" href="classgr__sync__block.html" title="synchronous 1:1 input to output with historyOverride work to provide the signal processing implementa..." alt="" coords="15,160,121,189"/><area shape="rect" id="node4" href="classgr__block.html" title="The abstract base class for all 'terminal' processing blocks.A signal processing flow is cons..." alt="" coords="33,83,103,112"/><area shape="rect" id="node6" href="classgr__basic__block.html" title="The abstract base class for all signal processing blocks.Basic blocks are the bare abstraction of an ..." alt="" coords="13,5,123,35"/></map>
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<p><a href="classtrellis__encoder__ss-members.html">List of all members.</a></p>
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Public Member Functions</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top"><a class="el" href="classfsm.html">fsm</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtrellis__encoder__ss.html#a3838faa1f509fdad377a02bcf5662d58">FSM</a> () const </td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="classtrellis__encoder__ss.html#a20840ddbb223a0e2f49f4a2ad35a524e">ST</a> () const </td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="classtrellis__encoder__ss.html#a3a783b5c5bb4b64cf96b3ba94a09bfe0">work</a> (int noutput_items, <a class="el" href="classstd_1_1vector.html">gr_vector_const_void_star</a> &input_items, <a class="el" href="classstd_1_1vector.html">gr_vector_void_star</a> &output_items)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">just like <a class="el" href="classgr__block.html#a137b93d87dc83bbdb6369d33f4ea8197" title="compute output items from input items">gr_block::general_work</a>, only this arranges to call consume_each for you <a href="#a3a783b5c5bb4b64cf96b3ba94a09bfe0"></a><br/></td></tr>
<tr><td colspan="2"><h2><a name="friends"></a>
Friends</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top"><a class="el" href="classboost_1_1shared__ptr.html">trellis_encoder_ss_sptr</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtrellis__encoder__ss.html#a55abea592471901807ff04ab6b775780">trellis_make_encoder_ss</a> (const <a class="el" href="classfsm.html">fsm</a> &FSM, int ST)</td></tr>
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<hr/><a name="_details"></a><h2>Detailed Description</h2>
<div class="textblock"><p>Convolutional encoder. </p>
</div><hr/><h2>Member Function Documentation</h2>
<a class="anchor" id="a3838faa1f509fdad377a02bcf5662d58"></a><!-- doxytag: member="trellis_encoder_ss::FSM" ref="a3838faa1f509fdad377a02bcf5662d58" args="() const " -->
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<td class="memname"><a class="el" href="classfsm.html">fsm</a> trellis_encoder_ss::FSM </td>
<td>(</td>
<td class="paramname"></td><td>)</td>
<td> const<code> [inline]</code></td>
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<a class="anchor" id="a20840ddbb223a0e2f49f4a2ad35a524e"></a><!-- doxytag: member="trellis_encoder_ss::ST" ref="a20840ddbb223a0e2f49f4a2ad35a524e" args="() const " -->
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<td class="memname">int trellis_encoder_ss::ST </td>
<td>(</td>
<td class="paramname"></td><td>)</td>
<td> const<code> [inline]</code></td>
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<a class="anchor" id="a3a783b5c5bb4b64cf96b3ba94a09bfe0"></a><!-- doxytag: member="trellis_encoder_ss::work" ref="a3a783b5c5bb4b64cf96b3ba94a09bfe0" args="(int noutput_items, gr_vector_const_void_star &input_items, gr_vector_void_star &output_items)" -->
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<td class="memname">int trellis_encoder_ss::work </td>
<td>(</td>
<td class="paramtype">int </td>
<td class="paramname"><em>noutput_items</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="classstd_1_1vector.html">gr_vector_const_void_star</a> & </td>
<td class="paramname"><em>input_items</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="classstd_1_1vector.html">gr_vector_void_star</a> & </td>
<td class="paramname"><em>output_items</em> </td>
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<td></td>
<td>)</td>
<td></td><td><code> [virtual]</code></td>
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<p>just like <a class="el" href="classgr__block.html#a137b93d87dc83bbdb6369d33f4ea8197" title="compute output items from input items">gr_block::general_work</a>, only this arranges to call consume_each for you </p>
<p>The user must override work to define the signal processing code </p>
<p>Implements <a class="el" href="classgr__sync__block.html#a0c523f4285a6eb690f677ee6295ab117">gr_sync_block</a>.</p>
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<hr/><h2>Friends And Related Function Documentation</h2>
<a class="anchor" id="a55abea592471901807ff04ab6b775780"></a><!-- doxytag: member="trellis_encoder_ss::trellis_make_encoder_ss" ref="a55abea592471901807ff04ab6b775780" args="(const fsm &FSM, int ST)" -->
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<td class="memname"><a class="el" href="classboost_1_1shared__ptr.html">trellis_encoder_ss_sptr</a> trellis_make_encoder_ss </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classfsm.html">fsm</a> & </td>
<td class="paramname"><em>FSM</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"><em>ST</em> </td>
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<td></td>
<td>)</td>
<td></td><td><code> [friend]</code></td>
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<hr/>The documentation for this class was generated from the following file:<ul>
<li><a class="el" href="trellis__encoder__ss_8h_source.html">trellis_encoder_ss.h</a></li>
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