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Javadoc. Variable names.
git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1489821 13f79535-47bb-0310-9956-ffa450edef68
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@ -1354,45 +1354,50 @@ public class MathArrays {
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}
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/**
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* Calculates the convolution between two sequences.
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* <p>
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* The solution is obtained via straightforward computation of the convolution sum (and not via FFT;
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* for longer sequences, the performance of this method might be inferior to an FFT-based implementation).
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* Calculates the <a href="http://en.wikipedia.org/wiki/Convolution">
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* convolution</a> between two sequences.
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* The solution is obtained via straightforward computation of the
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* convolution sum (and not via FFT).
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* Whenever the computation needs an element that would be located
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* at an index outside the input arrays, the value is assumed to be
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* zero.
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*
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* @param x the first sequence (double array of length {@code N});
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* the sequence is assumed to be zero elsewhere (i.e. {x[i]}=0 for i<0 and i>={@code N}).
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* Typically, this sequence will represent an input signal to a system.
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* @param h the second sequence (double array of length {@code M});
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* the sequence is assumed to be zero elsewhere (i.e. {h[i]}=0 for i<0 and i>={@code M}).
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* Typically, this sequence will represent the impulse response of the system.
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* @return the convolution of {@code x} and {@code h} (double array of length {@code N} + {@code M} -1)
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* @throws NullArgumentException if either {@code x} or {@code h} is null
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* @throws NoDataException if either {@code x} or {@code h} is empty
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* @param x First sequence.
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* Typically, this sequence will represent an input signal to a system.
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* @param h Second sequence.
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* Typically, this sequence will represent the impulse response of the
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* system.
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* @return the convolution of {@code x} and {@code h}.
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* This array's length will be {@code x.length + h.length - 1}.
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* @throws NullArgumentException if either {@code x} or {@code h} is
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* {@code null}.
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* @throws NoDataException if either {@code x} or {@code h} is empty.
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*
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* @see <a href="http://en.wikipedia.org/wiki/Convolution">Convolution (Wikipedia)</a>
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* @since 3.3
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*/
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public static double[] convolve(double[] x, double[] h) throws NullArgumentException, NoDataException {
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public static double[] convolve(double[] x, double[] h)
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throws NullArgumentException,
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NoDataException {
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MathUtils.checkNotNull(x);
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MathUtils.checkNotNull(h);
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final int lenX = x.length;
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final int lenH = h.length;
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final int xLen = x.length;
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final int hLen = h.length;
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if (lenX == 0 || lenH == 0) {
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if (xLen == 0 || hLen == 0) {
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throw new NoDataException();
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}
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// initialize the output array
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final int totalLength = lenX + lenH - 1;
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final int totalLength = xLen + hLen - 1;
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final double[] y = new double[totalLength];
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// straightforward implementation of the convolution sum
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for (int n = 0; n < totalLength; n++) {
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double yn = 0;
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int k = FastMath.max(0, n + 1 - lenX);
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int k = FastMath.max(0, n + 1 - xLen);
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int j = n - k;
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while (k < lenH && j >= 0) {
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while (k < hLen && j >= 0) {
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yn += x[j--] * h[k++];
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}
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y[n] = yn;
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@ -1400,5 +1405,4 @@ public class MathArrays {
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return y;
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}
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}
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