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<div id="projectname">CMSIS-DSP
&#160;<span id="projectnumber">Version 1.5.1</span>
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<div id="projectbrief">CMSIS DSP Software Library</div>
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<a href="#func-members">Functions</a> </div>
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<div class="title">Power<div class="ingroups"><a class="el" href="group__groupStats.html">Statistics Functions</a></div></div> </div>
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Functions</h2></td></tr>
<tr class="memitem:ga993c00dd7f661d66bdb6e58426e893aa"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__power.html#ga993c00dd7f661d66bdb6e58426e893aa">arm_power_f32</a> (<a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *pSrc, uint32_t <a class="el" href="arm__variance__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>, <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *pResult)</td></tr>
<tr class="memdesc:ga993c00dd7f661d66bdb6e58426e893aa"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sum of the squares of the elements of a floating-point vector. <a href="#ga993c00dd7f661d66bdb6e58426e893aa">More...</a><br/></td></tr>
<tr class="separator:ga993c00dd7f661d66bdb6e58426e893aa"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga7050c04b7515e01a75c38f1abbaf71ba"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__power.html#ga7050c04b7515e01a75c38f1abbaf71ba">arm_power_q15</a> (<a class="el" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea">q15_t</a> *pSrc, uint32_t <a class="el" href="arm__variance__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>, <a class="el" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6">q63_t</a> *pResult)</td></tr>
<tr class="memdesc:ga7050c04b7515e01a75c38f1abbaf71ba"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sum of the squares of the elements of a Q15 vector. <a href="#ga7050c04b7515e01a75c38f1abbaf71ba">More...</a><br/></td></tr>
<tr class="separator:ga7050c04b7515e01a75c38f1abbaf71ba"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga0b93d31bb5b5ed214c2b94d8a7744cd2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__power.html#ga0b93d31bb5b5ed214c2b94d8a7744cd2">arm_power_q31</a> (<a class="el" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0">q31_t</a> *pSrc, uint32_t <a class="el" href="arm__variance__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>, <a class="el" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6">q63_t</a> *pResult)</td></tr>
<tr class="memdesc:ga0b93d31bb5b5ed214c2b94d8a7744cd2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sum of the squares of the elements of a Q31 vector. <a href="#ga0b93d31bb5b5ed214c2b94d8a7744cd2">More...</a><br/></td></tr>
<tr class="separator:ga0b93d31bb5b5ed214c2b94d8a7744cd2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gaf969c85c5655e3d72d7b99ff188f92c9"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__power.html#gaf969c85c5655e3d72d7b99ff188f92c9">arm_power_q7</a> (<a class="el" href="arm__math_8h.html#ae541b6f232c305361e9b416fc9eed263">q7_t</a> *pSrc, uint32_t <a class="el" href="arm__variance__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>, <a class="el" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0">q31_t</a> *pResult)</td></tr>
<tr class="memdesc:gaf969c85c5655e3d72d7b99ff188f92c9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sum of the squares of the elements of a Q7 vector. <a href="#gaf969c85c5655e3d72d7b99ff188f92c9">More...</a><br/></td></tr>
<tr class="separator:gaf969c85c5655e3d72d7b99ff188f92c9"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Description</h2>
<p>Calculates the sum of the squares of the elements in the input vector. The underlying algorithm is used:</p>
<pre>
Result = pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + pSrc[2] * pSrc[2] + ... + pSrc[blockSize-1] * pSrc[blockSize-1];
</pre><p>There are separate functions for floating point, Q31, Q15, and Q7 data types. </p>
<h2 class="groupheader">Function Documentation</h2>
<a class="anchor" id="ga993c00dd7f661d66bdb6e58426e893aa"></a>
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<td class="memname">void arm_power_f32 </td>
<td>(</td>
<td class="paramtype"><a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *&#160;</td>
<td class="paramname"><em>pSrc</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint32_t&#160;</td>
<td class="paramname"><em>blockSize</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *&#160;</td>
<td class="paramname"><em>pResult</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">*pSrc</td><td>points to the input vector </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>length of the input vector </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">*pResult</td><td>sum of the squares value returned here </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>none. </dd></dl>
<p>References <a class="el" href="arm__fir__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>.</p>
</div>
</div>
<a class="anchor" id="ga7050c04b7515e01a75c38f1abbaf71ba"></a>
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<div class="memproto">
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<td class="memname">void arm_power_q15 </td>
<td>(</td>
<td class="paramtype"><a class="el" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea">q15_t</a> *&#160;</td>
<td class="paramname"><em>pSrc</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint32_t&#160;</td>
<td class="paramname"><em>blockSize</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6">q63_t</a> *&#160;</td>
<td class="paramname"><em>pResult</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">*pSrc</td><td>points to the input vector </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>length of the input vector </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">*pResult</td><td>sum of the squares value returned here </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
<p><b>Scaling and Overflow Behavior:</b></p>
<dl class="section user"><dt></dt><dd>The function is implemented using a 64-bit internal accumulator. The input is represented in 1.15 format. Intermediate multiplication yields a 2.30 format, and this result is added without saturation to a 64-bit accumulator in 34.30 format. With 33 guard bits in the accumulator, there is no risk of overflow, and the full precision of the intermediate multiplication is preserved. Finally, the return result is in 34.30 format. </dd></dl>
<p>References <a class="el" href="arm__math_8h.html#a9de2e0a5785be82866bcb96012282248">__SIMD32</a>, <a class="el" href="arm__math_8h.html#a7aed02041f489a4f65dbd7093073d94e">__SMLALD()</a>, and <a class="el" href="arm__fir__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>.</p>
</div>
</div>
<a class="anchor" id="ga0b93d31bb5b5ed214c2b94d8a7744cd2"></a>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void arm_power_q31 </td>
<td>(</td>
<td class="paramtype"><a class="el" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0">q31_t</a> *&#160;</td>
<td class="paramname"><em>pSrc</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint32_t&#160;</td>
<td class="paramname"><em>blockSize</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6">q63_t</a> *&#160;</td>
<td class="paramname"><em>pResult</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">*pSrc</td><td>points to the input vector </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>length of the input vector </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">*pResult</td><td>sum of the squares value returned here </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
<p><b>Scaling and Overflow Behavior:</b></p>
<dl class="section user"><dt></dt><dd>The function is implemented using a 64-bit internal accumulator. The input is represented in 1.31 format. Intermediate multiplication yields a 2.62 format, and this result is truncated to 2.48 format by discarding the lower 14 bits. The 2.48 result is then added without saturation to a 64-bit accumulator in 16.48 format. With 15 guard bits in the accumulator, there is no risk of overflow, and the full precision of the intermediate multiplication is preserved. Finally, the return result is in 16.48 format. </dd></dl>
<p>References <a class="el" href="arm__fir__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>.</p>
</div>
</div>
<a class="anchor" id="gaf969c85c5655e3d72d7b99ff188f92c9"></a>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void arm_power_q7 </td>
<td>(</td>
<td class="paramtype"><a class="el" href="arm__math_8h.html#ae541b6f232c305361e9b416fc9eed263">q7_t</a> *&#160;</td>
<td class="paramname"><em>pSrc</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint32_t&#160;</td>
<td class="paramname"><em>blockSize</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0">q31_t</a> *&#160;</td>
<td class="paramname"><em>pResult</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">*pSrc</td><td>points to the input vector </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>length of the input vector </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">*pResult</td><td>sum of the squares value returned here </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
<p><b>Scaling and Overflow Behavior:</b></p>
<dl class="section user"><dt></dt><dd>The function is implemented using a 32-bit internal accumulator. The input is represented in 1.7 format. Intermediate multiplication yields a 2.14 format, and this result is added without saturation to an accumulator in 18.14 format. With 17 guard bits in the accumulator, there is no risk of overflow, and the full precision of the intermediate multiplication is preserved. Finally, the return result is in 18.14 format. </dd></dl>
<p>References <a class="el" href="arm__math_8h.html#a9de2e0a5785be82866bcb96012282248">__SIMD32</a>, <a class="el" href="arm__math_8h.html#aa611fdbf6c56c46553701d6596a79aaf">__SMLAD()</a>, <a class="el" href="arm__math_8h.html#ac9f7f02a5e0ad5642026dbd0da7418db">__SXTB16()</a>, and <a class="el" href="arm__fir__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>.</p>
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