annotate Code/Descriptors/yin/private/rsmooth.m @ 4:92ca03a8fa99
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Update to ICASSP 2013 benchmark
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Dawn Black |
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Wed, 13 Feb 2013 11:02:39 +0000 |
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ea0c737c6323 |
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1 %y=rsmooth(x,smooth,npasses,trim) - smooth by running convolution
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2 %
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3 % X: input matrix
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4 % SMOOTH: samples - size of square smoothing window
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5 % NPASSES: number of smoothing passes (default=1)
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6 % TRIM: if true, clip Y to same size as X
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7 %
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8 % Y: output matrix
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9 %
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10 % RSMOOTH smooths each column of matrix X by convolution with a square window
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11 % followed by division by the window size.
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12 % Multiple passes allow smoothing with a triangular window (npasses=2), or
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13 % window shapes that approach a gaussian (npasses large). Convolution is
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14 % implemented as a running sum for speed.
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15 %
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16 % Y has NPASSES*(SMOOTH-1) more rows than X unless TRIM is set.
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17 %
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18 % mex function
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