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434 lines
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<a href="#func-members">Functions</a> </div>
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<div class="headertitle"><div class="title">Power<div class="ingroups"><a class="el" href="group__groupStats.html">Statistics Functions</a></div></div></div>
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<table class="memberdecls">
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="func-members" name="func-members"></a>
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Functions</h2></td></tr>
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<tr class="memitem:gaf093cf5a7db849d7a02d4e2b7f729730"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="group__power.html#gaf093cf5a7db849d7a02d4e2b7f729730">arm_power_f16</a> (const float16_t *pSrc, uint32_t <a class="el" href="arm__variance__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>, float16_t *pResult)</td></tr>
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<tr class="memdesc:gaf093cf5a7db849d7a02d4e2b7f729730"><td class="mdescLeft"> </td><td class="mdescRight">Sum of the squares of the elements of a floating-point vector. <a href="group__power.html#gaf093cf5a7db849d7a02d4e2b7f729730">More...</a><br /></td></tr>
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<tr class="separator:gaf093cf5a7db849d7a02d4e2b7f729730"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:gad0630e3743da2b5aedbe2bb624a8532f"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="group__power.html#gad0630e3743da2b5aedbe2bb624a8532f">arm_power_f32</a> (const <a class="el" href="arm__math__types_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__types_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *pResult)</td></tr>
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<tr class="memdesc:gad0630e3743da2b5aedbe2bb624a8532f"><td class="mdescLeft"> </td><td class="mdescRight">Sum of the squares of the elements of a floating-point vector. <a href="group__power.html#gad0630e3743da2b5aedbe2bb624a8532f">More...</a><br /></td></tr>
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<tr class="separator:gad0630e3743da2b5aedbe2bb624a8532f"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ga897d8e5b31405765811107960ba11c9f"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="group__power.html#ga897d8e5b31405765811107960ba11c9f">arm_power_f64</a> (const <a class="el" href="arm__math__types_8h.html#ac55f3ae81b5bc9053760baacf57e47f4">float64_t</a> *pSrc, uint32_t <a class="el" href="arm__variance__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>, <a class="el" href="arm__math__types_8h.html#ac55f3ae81b5bc9053760baacf57e47f4">float64_t</a> *pResult)</td></tr>
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<tr class="memdesc:ga897d8e5b31405765811107960ba11c9f"><td class="mdescLeft"> </td><td class="mdescRight">Sum of the squares of the elements of a floating-point vector. <a href="group__power.html#ga897d8e5b31405765811107960ba11c9f">More...</a><br /></td></tr>
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<tr class="separator:ga897d8e5b31405765811107960ba11c9f"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ga6b87986c6a3617d4fc32c0572a07706c"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="group__power.html#ga6b87986c6a3617d4fc32c0572a07706c">arm_power_q15</a> (const <a class="el" href="arm__math__types_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__types_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6">q63_t</a> *pResult)</td></tr>
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<tr class="memdesc:ga6b87986c6a3617d4fc32c0572a07706c"><td class="mdescLeft"> </td><td class="mdescRight">Sum of the squares of the elements of a Q15 vector. <a href="group__power.html#ga6b87986c6a3617d4fc32c0572a07706c">More...</a><br /></td></tr>
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<tr class="separator:ga6b87986c6a3617d4fc32c0572a07706c"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:gae490bf87084bcdb5dc9fd1d2ef4030b9"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="group__power.html#gae490bf87084bcdb5dc9fd1d2ef4030b9">arm_power_q31</a> (const <a class="el" href="arm__math__types_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__types_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6">q63_t</a> *pResult)</td></tr>
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<tr class="memdesc:gae490bf87084bcdb5dc9fd1d2ef4030b9"><td class="mdescLeft"> </td><td class="mdescRight">Sum of the squares of the elements of a Q31 vector. <a href="group__power.html#gae490bf87084bcdb5dc9fd1d2ef4030b9">More...</a><br /></td></tr>
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<tr class="separator:gae490bf87084bcdb5dc9fd1d2ef4030b9"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:gaeb3b9b8e0a4c4bb2549ede074cf43f58"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="group__power.html#gaeb3b9b8e0a4c4bb2549ede074cf43f58">arm_power_q7</a> (const <a class="el" href="arm__math__types_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__types_8h.html#adc89a3547f5324b7b3b95adec3806bc0">q31_t</a> *pResult)</td></tr>
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<tr class="memdesc:gaeb3b9b8e0a4c4bb2549ede074cf43f58"><td class="mdescLeft"> </td><td class="mdescRight">Sum of the squares of the elements of a Q7 vector. <a href="group__power.html#gaeb3b9b8e0a4c4bb2549ede074cf43f58">More...</a><br /></td></tr>
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<tr class="separator:gaeb3b9b8e0a4c4bb2549ede074cf43f58"><td class="memSeparator" colspan="2"> </td></tr>
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</table>
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<a name="details" id="details"></a><h2 class="groupheader">Description</h2>
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<p >Calculates the sum of the squares of the elements in the input vector. The underlying algorithm is used:</p>
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<pre>
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Result = pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + pSrc[2] * pSrc[2] + ... + pSrc[blockSize-1] * pSrc[blockSize-1];
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</pre><p >There are separate functions for floating point, Q31, Q15, and Q7 data types.</p>
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<p >Since the result is not divided by the length, those functions are in fact computing something which is more an energy than a power. </p>
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<h2 class="groupheader">Function Documentation</h2>
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<a id="gaf093cf5a7db849d7a02d4e2b7f729730" name="gaf093cf5a7db849d7a02d4e2b7f729730"></a>
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<h2 class="memtitle"><span class="permalink"><a href="#gaf093cf5a7db849d7a02d4e2b7f729730">◆ </a></span>arm_power_f16()</h2>
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<div class="memitem">
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<tr>
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<td class="memname">void arm_power_f16 </td>
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<td>(</td>
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<td class="paramtype">const float16_t * </td>
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<td class="paramname"><em>pSrc</em>, </td>
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</tr>
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<tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">uint32_t </td>
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<td class="paramname"><em>blockSize</em>, </td>
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</tr>
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<tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">float16_t * </td>
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<td class="paramname"><em>pResult</em> </td>
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</tr>
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<tr>
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<td></td>
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<td>)</td>
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<td></td><td></td>
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</tr>
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</table>
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</div><div class="memdoc">
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<dl class="params"><dt>Parameters</dt><dd>
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<table class="params">
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<tr><td class="paramdir">[in]</td><td class="paramname">pSrc</td><td>points to the input vector </td></tr>
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<tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>number of samples in input vector </td></tr>
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<tr><td class="paramdir">[out]</td><td class="paramname">pResult</td><td>sum of the squares value returned here </td></tr>
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</table>
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</dd>
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</dl>
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<dl class="section return"><dt>Returns</dt><dd>none </dd></dl>
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</div>
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</div>
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<a id="gad0630e3743da2b5aedbe2bb624a8532f" name="gad0630e3743da2b5aedbe2bb624a8532f"></a>
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<h2 class="memtitle"><span class="permalink"><a href="#gad0630e3743da2b5aedbe2bb624a8532f">◆ </a></span>arm_power_f32()</h2>
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<div class="memitem">
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<div class="memproto">
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<table class="memname">
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<tr>
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<td class="memname">void arm_power_f32 </td>
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<td>(</td>
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<td class="paramtype">const <a class="el" href="arm__math__types_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> * </td>
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<td class="paramname"><em>pSrc</em>, </td>
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</tr>
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<tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">uint32_t </td>
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<td class="paramname"><em>blockSize</em>, </td>
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</tr>
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<tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype"><a class="el" href="arm__math__types_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> * </td>
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<td class="paramname"><em>pResult</em> </td>
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</tr>
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<tr>
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<td></td>
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<td>)</td>
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<td></td><td></td>
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</tr>
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</table>
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</div><div class="memdoc">
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<dl class="params"><dt>Parameters</dt><dd>
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<table class="params">
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<tr><td class="paramdir">[in]</td><td class="paramname">pSrc</td><td>points to the input vector </td></tr>
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<tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>number of samples in input vector </td></tr>
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<tr><td class="paramdir">[out]</td><td class="paramname">pResult</td><td>sum of the squares value returned here </td></tr>
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</table>
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</dd>
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</dl>
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<dl class="section return"><dt>Returns</dt><dd>none </dd></dl>
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</div>
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</div>
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<a id="ga897d8e5b31405765811107960ba11c9f" name="ga897d8e5b31405765811107960ba11c9f"></a>
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<h2 class="memtitle"><span class="permalink"><a href="#ga897d8e5b31405765811107960ba11c9f">◆ </a></span>arm_power_f64()</h2>
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<div class="memitem">
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<tr>
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<td class="memname">void arm_power_f64 </td>
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<td>(</td>
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<td class="paramtype">const <a class="el" href="arm__math__types_8h.html#ac55f3ae81b5bc9053760baacf57e47f4">float64_t</a> * </td>
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<td class="paramname"><em>pSrc</em>, </td>
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</tr>
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<tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">uint32_t </td>
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<td class="paramname"><em>blockSize</em>, </td>
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</tr>
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<tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype"><a class="el" href="arm__math__types_8h.html#ac55f3ae81b5bc9053760baacf57e47f4">float64_t</a> * </td>
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<td class="paramname"><em>pResult</em> </td>
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</tr>
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<tr>
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<td></td>
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<td>)</td>
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<td></td><td></td>
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</tr>
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</table>
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</div><div class="memdoc">
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<dl class="params"><dt>Parameters</dt><dd>
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<table class="params">
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<tr><td class="paramdir">[in]</td><td class="paramname">pSrc</td><td>points to the input vector </td></tr>
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<tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>number of samples in input vector </td></tr>
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<tr><td class="paramdir">[out]</td><td class="paramname">pResult</td><td>sum of the squares value returned here </td></tr>
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</table>
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</dd>
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</dl>
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<dl class="section return"><dt>Returns</dt><dd>none </dd></dl>
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<a id="ga6b87986c6a3617d4fc32c0572a07706c" name="ga6b87986c6a3617d4fc32c0572a07706c"></a>
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<h2 class="memtitle"><span class="permalink"><a href="#ga6b87986c6a3617d4fc32c0572a07706c">◆ </a></span>arm_power_q15()</h2>
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<td class="memname">void arm_power_q15 </td>
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<td>(</td>
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<td class="paramtype">const <a class="el" href="arm__math__types_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea">q15_t</a> * </td>
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<td class="paramname"><em>pSrc</em>, </td>
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</tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">uint32_t </td>
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<td class="paramname"><em>blockSize</em>, </td>
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</tr>
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<tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype"><a class="el" href="arm__math__types_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6">q63_t</a> * </td>
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<td class="paramname"><em>pResult</em> </td>
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</tr>
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<tr>
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<td></td>
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<td>)</td>
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<td></td><td></td>
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</tr>
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</table>
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</div><div class="memdoc">
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<dl class="params"><dt>Parameters</dt><dd>
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<table class="params">
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<tr><td class="paramdir">[in]</td><td class="paramname">pSrc</td><td>points to the input vector </td></tr>
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<tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>number of samples in input vector </td></tr>
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<tr><td class="paramdir">[out]</td><td class="paramname">pResult</td><td>sum of the squares value returned here </td></tr>
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</table>
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</dd>
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</dl>
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<dl class="section return"><dt>Returns</dt><dd>none</dd></dl>
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<dl class="section user"><dt>Scaling and Overflow Behavior</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>
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<a id="gae490bf87084bcdb5dc9fd1d2ef4030b9" name="gae490bf87084bcdb5dc9fd1d2ef4030b9"></a>
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<h2 class="memtitle"><span class="permalink"><a href="#gae490bf87084bcdb5dc9fd1d2ef4030b9">◆ </a></span>arm_power_q31()</h2>
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<div class="memitem">
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<td class="memname">void arm_power_q31 </td>
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<td>(</td>
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<td class="paramtype">const <a class="el" href="arm__math__types_8h.html#adc89a3547f5324b7b3b95adec3806bc0">q31_t</a> * </td>
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<td class="paramname"><em>pSrc</em>, </td>
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</tr>
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<tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">uint32_t </td>
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<td class="paramname"><em>blockSize</em>, </td>
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</tr>
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<tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype"><a class="el" href="arm__math__types_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6">q63_t</a> * </td>
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<td class="paramname"><em>pResult</em> </td>
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</tr>
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<tr>
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<td></td>
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<td>)</td>
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<td></td><td></td>
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</tr>
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</table>
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</div><div class="memdoc">
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<dl class="params"><dt>Parameters</dt><dd>
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<table class="params">
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<tr><td class="paramdir">[in]</td><td class="paramname">pSrc</td><td>points to the input vector </td></tr>
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<tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>number of samples in input vector </td></tr>
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<tr><td class="paramdir">[out]</td><td class="paramname">pResult</td><td>sum of the squares value returned here </td></tr>
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</table>
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</dd>
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</dl>
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<dl class="section return"><dt>Returns</dt><dd>none</dd></dl>
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<dl class="section user"><dt>Scaling and Overflow Behavior</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>
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</div>
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</div>
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<a id="gaeb3b9b8e0a4c4bb2549ede074cf43f58" name="gaeb3b9b8e0a4c4bb2549ede074cf43f58"></a>
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<h2 class="memtitle"><span class="permalink"><a href="#gaeb3b9b8e0a4c4bb2549ede074cf43f58">◆ </a></span>arm_power_q7()</h2>
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<td class="memname">void arm_power_q7 </td>
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<td>(</td>
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<td class="paramtype">const <a class="el" href="arm__math__types_8h.html#ae541b6f232c305361e9b416fc9eed263">q7_t</a> * </td>
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<td class="paramname"><em>pSrc</em>, </td>
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</tr>
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<tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">uint32_t </td>
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<td class="paramname"><em>blockSize</em>, </td>
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</tr>
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<tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype"><a class="el" href="arm__math__types_8h.html#adc89a3547f5324b7b3b95adec3806bc0">q31_t</a> * </td>
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<td class="paramname"><em>pResult</em> </td>
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</tr>
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<tr>
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<td></td>
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<td>)</td>
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<td></td><td></td>
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</tr>
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</table>
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</div><div class="memdoc">
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<dl class="params"><dt>Parameters</dt><dd>
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<table class="params">
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<tr><td class="paramdir">[in]</td><td class="paramname">pSrc</td><td>points to the input vector </td></tr>
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<tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>number of samples in input vector </td></tr>
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<tr><td class="paramdir">[out]</td><td class="paramname">pResult</td><td>sum of the squares value returned here </td></tr>
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</table>
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</dd>
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</dl>
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<dl class="section return"><dt>Returns</dt><dd>none</dd></dl>
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<dl class="section user"><dt>Scaling and Overflow Behavior</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>
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