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<a href="#func-members">Functions</a>  </div>
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<div class="title">Cubic Spline Interpolation<div class="ingroups"><a class="el" href="group__groupSupport.html">Support Functions</a></div></div>  </div>
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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:ga4ef053a783b251b085454b28f8aecb94"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__SplineInterpolate.html#ga4ef053a783b251b085454b28f8aecb94">arm_spline_f32</a> (<a class="el" href="structarm__spline__instance__f32.html">arm_spline_instance_f32</a> *<a class="el" href="arm__bayes__example__f32_8c.html#ad5af783c9e1eb1514dec0a59dac35eb7">S</a>, const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *xq, <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *pDst, uint32_t <a class="el" href="arm__variance__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>)</td></tr>
<tr class="memdesc:ga4ef053a783b251b085454b28f8aecb94"><td class="mdescLeft">&#160;</td><td class="mdescRight">Processing function for the floating-point cubic spline interpolation.  <a href="#ga4ef053a783b251b085454b28f8aecb94">More...</a><br/></td></tr>
<tr class="separator:ga4ef053a783b251b085454b28f8aecb94"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga5370a3c4a213e15bf57726406ec52ae0"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__SplineInterpolate.html#ga5370a3c4a213e15bf57726406ec52ae0">arm_spline_init_f32</a> (<a class="el" href="structarm__spline__instance__f32.html">arm_spline_instance_f32</a> *<a class="el" href="arm__bayes__example__f32_8c.html#ad5af783c9e1eb1514dec0a59dac35eb7">S</a>, <a class="el" href="arm__math_8h.html#a545cad4aaf64955a2d2e93d7e806bcd7">arm_spline_type</a> type, const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *x, const <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *y, uint32_t n, <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *coeffs, <a class="el" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *tempBuffer)</td></tr>
<tr class="memdesc:ga5370a3c4a213e15bf57726406ec52ae0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialization function for the floating-point cubic spline interpolation.  <a href="#ga5370a3c4a213e15bf57726406ec52ae0">More...</a><br/></td></tr>
<tr class="separator:ga5370a3c4a213e15bf57726406ec52ae0"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Description</h2>
<p>Spline interpolation is a method of interpolation where the interpolant is a piecewise-defined polynomial called "spline".</p>
<dl class="section user"><dt>Introduction</dt><dd></dd></dl>
<p>Given a function f defined on the interval [a,b], a set of n nodes x(i) where a=x(1)&lt;x(2)&lt;...&lt;x(n)=b and a set of n values y(i) = f(x(i)), a cubic spline interpolant S(x) is defined as:</p>
<pre>
         S1(x)       x(1) &lt; x &lt; x(2)
 S(x) =   ...         
         Sn-1(x)   x(n-1) &lt; x &lt; x(n)
 </pre><p>where</p>
<pre> 
 Si(x) = a_i+b_i(x-xi)+c_i(x-xi)^2+d_i(x-xi)^3    i=1, ..., n-1
 </pre><dl class="section user"><dt>Algorithm</dt><dd></dd></dl>
<p>Having defined h(i) = x(i+1) - x(i)</p>
<pre>
 h(i-1)c(i-1)+2[h(i-1)+h(i)]c(i)+h(i)c(i+1) = 3/h(i)*[a(i+1)-a(i)]-3/h(i-1)*[a(i)-a(i-1)]    i=2, ..., n-1
 </pre><p>It is possible to write the previous conditions in matrix form (Ax=B). In order to solve the system two boundary conidtions are needed.</p>
<ul>
<li>Natural spline: S1''(x1)=2*c(1)=0 ; Sn''(xn)=2*c(n)=0 In matrix form:</li>
</ul>
<pre>
 |  1        0         0  ...    0         0           0     ||  c(1)  | |                        0                        |
 | h(0) 2[h(0)+h(1)] h(1) ...    0         0           0     ||  c(2)  | |      3/h(2)*[a(3)-a(2)]-3/h(1)*[a(2)-a(1)]      |
 | ...      ...       ... ...   ...       ...         ...    ||  ...   |=|                       ...                       |
 |  0        0         0  ... h(n-2) 2[h(n-2)+h(n-1)] h(n-1) || c(n-1) | | 3/h(n-1)*[a(n)-a(n-1)]-3/h(n-2)*[a(n-1)-a(n-2)] |
 |  0        0         0  ...    0         0           1     ||  c(n)  | |                        0                        |
 </pre><ul>
<li>Parabolic runout spline: S1''(x1)=2*c(1)=S2''(x2)=2*c(2) ; Sn-1''(xn-1)=2*c(n-1)=Sn''(xn)=2*c(n) In matrix form:</li>
</ul>
<pre>
 |  1       -1         0  ...    0         0           0     ||  c(1)  | |                        0                        |
 | h(0) 2[h(0)+h(1)] h(1) ...    0         0           0     ||  c(2)  | |      3/h(2)*[a(3)-a(2)]-3/h(1)*[a(2)-a(1)]      |
 | ...      ...       ... ...   ...       ...         ...    ||  ...   |=|                       ...                       |
 |  0        0         0  ... h(n-2) 2[h(n-2)+h(n-1)] h(n-1) || c(n-1) | | 3/h(n-1)*[a(n)-a(n-1)]-3/h(n-2)*[a(n-1)-a(n-2)] |
 |  0        0         0  ...    0        -1           1     ||  c(n)  | |                        0                        |
 </pre><p>A is a tridiagonal matrix (a band matrix of bandwidth 3) of size N=n+1. The factorization algorithms (A=LU) can be simplified considerably because a large number of zeros appear in regular patterns. The Crout method has been used: 1) Solve LZ=B</p>
<pre>
 u(1,2) = A(1,2)/A(1,1)
 z(1)   = B(1)/l(11)</pre><pre> FOR i=2, ..., N-1
   l(i,i)   = A(i,i)-A(i,i-1)u(i-1,i)
   u(i,i+1) = a(i,i+1)/l(i,i)
   z(i)     = [B(i)-A(i,i-1)z(i-1)]/l(i,i)</pre><pre> l(N,N) = A(N,N)-A(N,N-1)u(N-1,N)
 z(N)   = [B(N)-A(N,N-1)z(N-1)]/l(N,N)
 </pre><p>2) Solve UX=Z</p>
<pre>
 c(N)=z(N)</pre><pre> FOR i=N-1, ..., 1
   c(i)=z(i)-u(i,i+1)c(i+1) 
 </pre><p>c(i) for i=1, ..., n-1 are needed to compute the n-1 polynomials. b(i) and d(i) are computed as:</p>
<ul>
<li>b(i) = [y(i+1)-y(i)]/h(i)-h(i)*[c(i+1)+2*c(i)]/3</li>
<li>d(i) = [c(i+1)-c(i)]/[3*h(i)] Moreover, a(i)=y(i).</li>
</ul>
<dl class="section user"><dt>Behaviour outside the given intervals</dt><dd></dd></dl>
<p>It is possible to compute the interpolated vector for x values outside the input range (xq&lt;x(1); xq&gt;x(n)). The coefficients used to compute the y values for xq&lt;x(1) are going to be the ones used for the first interval, while for xq&gt;x(n) the coefficients used for the last interval.</p>
<dl class="section user"><dt>Initialization function</dt><dd></dd></dl>
<p>The initialization function takes as input two arrays that the user has to allocate: <code>coeffs</code> will contain the b, c, and d coefficients for the (n-1) intervals (n is the number of known points), hence its size must be 3*(n-1); <code>tempBuffer</code> is temporally used for internal computations and its size is n+n-1.</p>
<dl class="section user"><dt></dt><dd></dd></dl>
<p>The x input array must be strictly sorted in ascending order and it must not contain twice the same value (x(i)&lt;x(i+1)). </p>
<h2 class="groupheader">Function Documentation</h2>
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          <td class="memname">void arm_spline_f32 </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="structarm__spline__instance__f32.html">arm_spline_instance_f32</a> *&#160;</td>
          <td class="paramname"><em>S</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>xq</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>pDst</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">S</td><td>points to an instance of the floating-point spline structure. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">xq</td><td>points to the x values ot the interpolated data points. </td></tr>
    <tr><td class="paramdir">[out]</td><td class="paramname">pDst</td><td>points to the block of output data. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>number of samples of output data. </td></tr>
  </table>
  </dd>
</dl>

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          <td class="memname">void arm_spline_init_f32 </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="structarm__spline__instance__f32.html">arm_spline_instance_f32</a> *&#160;</td>
          <td class="paramname"><em>S</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="arm__math_8h.html#a545cad4aaf64955a2d2e93d7e806bcd7">arm_spline_type</a>&#160;</td>
          <td class="paramname"><em>type</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>x</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>y</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>n</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>coeffs</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>tempBuffer</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,out]</td><td class="paramname">S</td><td>points to an instance of the floating-point spline structure. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">type</td><td>type of cubic spline interpolation (boundary conditions) </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">x</td><td>points to the x values of the known data points. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">y</td><td>points to the y values of the known data points. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">n</td><td>number of known data points. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">coeffs</td><td>coefficients array for b, c, and d </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">tempBuffer</td><td>buffer array for internal computations </td></tr>
  </table>
  </dd>
</dl>

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