ARM-software
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CMSIS_5
oglindă de https://github-proxy.rt-thread.io/ARM-software/CMSIS_5.git


			
				
					
						
						
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   &#160;<span id="projectnumber">Version 1.8.0</span>
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<div class="title">Statistics Functions</div>  </div>
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Content</h2></td></tr>
<tr class="memitem:group__Max"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Max.html">Maximum</a></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:group__mean"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__mean.html">Mean</a></td></tr>
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<tr class="memitem:group__Min"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Min.html">Minimum</a></td></tr>
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<tr class="memitem:group__power"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__power.html">Power</a></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:group__RMS"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__RMS.html">Root mean square (RMS)</a></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:group__STD"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__STD.html">Standard deviation</a></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:group__variance"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__variance.html">Variance</a></td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:gab9afb0c43fdc7066c3336bc8429f984d"><td class="memItemLeft" align="right" valign="top"><a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__groupStats.html#gab9afb0c43fdc7066c3336bc8429f984d">arm_entropy_f32</a> (const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *pSrcA, uint32_t <a class="el" href="arm__variance__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>)</td></tr>
<tr class="memdesc:gab9afb0c43fdc7066c3336bc8429f984d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Entropy.  <a href="#gab9afb0c43fdc7066c3336bc8429f984d">More...</a><br/></td></tr>
<tr class="separator:gab9afb0c43fdc7066c3336bc8429f984d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga16bd9a361efc4fab8b8ec29936c07d23"><td class="memItemLeft" align="right" valign="top"><a class="el" href="arm__math_8h.html#ac55f3ae81b5bc9053760baacf57e47f4">float64_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__groupStats.html#ga16bd9a361efc4fab8b8ec29936c07d23">arm_entropy_f64</a> (const <a class="el" href="arm__math_8h.html#ac55f3ae81b5bc9053760baacf57e47f4">float64_t</a> *pSrcA, uint32_t <a class="el" href="arm__variance__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>)</td></tr>
<tr class="memdesc:ga16bd9a361efc4fab8b8ec29936c07d23"><td class="mdescLeft">&#160;</td><td class="mdescRight">Entropy.  <a href="#ga16bd9a361efc4fab8b8ec29936c07d23">More...</a><br/></td></tr>
<tr class="separator:ga16bd9a361efc4fab8b8ec29936c07d23"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gac079b8525d5b6d3e80ca43517be2b5b4"><td class="memItemLeft" align="right" valign="top"><a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__groupStats.html#gac079b8525d5b6d3e80ca43517be2b5b4">arm_kullback_leibler_f32</a> (const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *pSrcA, const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *pSrcB, uint32_t <a class="el" href="arm__variance__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>)</td></tr>
<tr class="memdesc:gac079b8525d5b6d3e80ca43517be2b5b4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Kullback-Leibler.  <a href="#gac079b8525d5b6d3e80ca43517be2b5b4">More...</a><br/></td></tr>
<tr class="separator:gac079b8525d5b6d3e80ca43517be2b5b4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga924334ef70fd1eaca38c550b8e7a5d32"><td class="memItemLeft" align="right" valign="top"><a class="el" href="arm__math_8h.html#ac55f3ae81b5bc9053760baacf57e47f4">float64_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__groupStats.html#ga924334ef70fd1eaca38c550b8e7a5d32">arm_kullback_leibler_f64</a> (const <a class="el" href="arm__math_8h.html#ac55f3ae81b5bc9053760baacf57e47f4">float64_t</a> *pSrcA, const <a class="el" href="arm__math_8h.html#ac55f3ae81b5bc9053760baacf57e47f4">float64_t</a> *pSrcB, uint32_t <a class="el" href="arm__variance__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>)</td></tr>
<tr class="memdesc:ga924334ef70fd1eaca38c550b8e7a5d32"><td class="mdescLeft">&#160;</td><td class="mdescRight">Kullback-Leibler.  <a href="#ga924334ef70fd1eaca38c550b8e7a5d32">More...</a><br/></td></tr>
<tr class="separator:ga924334ef70fd1eaca38c550b8e7a5d32"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gafc0c0beeb5962c95ad3afd3739602254"><td class="memItemLeft" align="right" valign="top"><a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__groupStats.html#gafc0c0beeb5962c95ad3afd3739602254">arm_logsumexp_dot_prod_f32</a> (const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *pSrcA, const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *pSrcB, 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> *pTmpBuffer)</td></tr>
<tr class="memdesc:gafc0c0beeb5962c95ad3afd3739602254"><td class="mdescLeft">&#160;</td><td class="mdescRight">Dot product with log arithmetic.  <a href="#gafc0c0beeb5962c95ad3afd3739602254">More...</a><br/></td></tr>
<tr class="separator:gafc0c0beeb5962c95ad3afd3739602254"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gaa66d25e7fc685c86e400567b4585857e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__groupStats.html#gaa66d25e7fc685c86e400567b4585857e">arm_logsumexp_f32</a> (const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *in, uint32_t <a class="el" href="arm__variance__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>)</td></tr>
<tr class="memdesc:gaa66d25e7fc685c86e400567b4585857e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computation of the LogSumExp.  <a href="#gaa66d25e7fc685c86e400567b4585857e">More...</a><br/></td></tr>
<tr class="separator:gaa66d25e7fc685c86e400567b4585857e"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Description</h2>
<h2 class="groupheader">Function Documentation</h2>
<a class="anchor" id="gab9afb0c43fdc7066c3336bc8429f984d"></a>
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          <td class="memname"><a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> arm_entropy_f32 </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *&#160;</td>
          <td class="paramname"><em>pSrcA</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>blockSize</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">pSrcA</td><td>Array of input values. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>Number of samples in the input array. </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Entropy -Sum(p ln p) </dd></dl>

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          <td class="memname"><a class="el" href="arm__math_8h.html#ac55f3ae81b5bc9053760baacf57e47f4">float64_t</a> arm_entropy_f64 </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="arm__math_8h.html#ac55f3ae81b5bc9053760baacf57e47f4">float64_t</a> *&#160;</td>
          <td class="paramname"><em>pSrcA</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>blockSize</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">pSrcA</td><td>Array of input values. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>Number of samples in the input array. </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Entropy -Sum(p ln p) </dd></dl>

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          <td class="memname"><a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> arm_kullback_leibler_f32 </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *&#160;</td>
          <td class="paramname"><em>pSrcA</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *&#160;</td>
          <td class="paramname"><em>pSrcB</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>blockSize</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<p>Distribution A may contain 0 with Neon version. Result will be right but some exception flags will be set.</p>
<p>Distribution B must not contain 0 probability.</p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">*pSrcA</td><td>points to an array of input values for probaility distribution A. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">*pSrcB</td><td>points to an array of input values for probaility distribution B. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>number of samples in the input array. </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Kullback-Leibler divergence D(A || B) </dd></dl>

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          <td class="memname"><a class="el" href="arm__math_8h.html#ac55f3ae81b5bc9053760baacf57e47f4">float64_t</a> arm_kullback_leibler_f64 </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="arm__math_8h.html#ac55f3ae81b5bc9053760baacf57e47f4">float64_t</a> *&#160;</td>
          <td class="paramname"><em>pSrcA</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="arm__math_8h.html#ac55f3ae81b5bc9053760baacf57e47f4">float64_t</a> *&#160;</td>
          <td class="paramname"><em>pSrcB</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>blockSize</em>&#160;</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">*pSrcA</td><td>points to an array of input values for probaility distribution A. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">*pSrcB</td><td>points to an array of input values for probaility distribution B. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>number of samples in the input array. </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Kullback-Leibler divergence D(A || B) </dd></dl>

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          <td class="memname"><a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> arm_logsumexp_dot_prod_f32 </td>
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          <td class="paramtype">const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *&#160;</td>
          <td class="paramname"><em>pSrcA</em>, </td>
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          <td class="paramtype">const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *&#160;</td>
          <td class="paramname"><em>pSrcB</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>blockSize</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype"><a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *&#160;</td>
          <td class="paramname"><em>pTmpBuffer</em>&#160;</td>
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<p>Vectors are containing the log of the samples</p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">*pSrcA</td><td>points to the first input vector </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">*pSrcB</td><td>points to the second input vector </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>number of samples in each vector </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">*pTmpBuffer</td><td>temporary buffer of length blockSize </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>The log of the dot product. </dd></dl>

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          <td class="memname"><a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> arm_logsumexp_f32 </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *&#160;</td>
          <td class="paramname"><em>in</em>, </td>
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<p>In probabilistic computations, the dynamic of the probability values can be very wide because they come from gaussian functions. To avoid underflow and overflow issues, the values are represented by their log. In this representation, multiplying the original exp values is easy : their logs are added. But adding the original exp values is requiring some special handling and it is the goal of the LogSumExp function.</p>
<p>If the values are x1...xn, the function is computing:</p>
<p>ln(exp(x1) + ... + exp(xn)) and the computation is done in such a way that rounding issues are minimised.</p>
<p>The max xm of the values is extracted and the function is computing: xm + ln(exp(x1 - xm) + ... + exp(xn - xm))</p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">*in</td><td>Pointer to an array of input values. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>Number of samples in the input array. </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>LogSumExp </dd></dl>

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