Mercurial > hg > emotion-detection-top-level
comparison Code/Descriptors/yin/private/rsmooth.m @ 0:ea0c737c6323
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| author | Dawn Black <dawn.black@eecs.qmul.ac.uk> |
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| date | Thu, 26 Jul 2012 14:46:25 +0100 |
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| -1:000000000000 | 0:ea0c737c6323 |
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| 1 %y=rsmooth(x,smooth,npasses,trim) - smooth by running convolution | |
| 2 % | |
| 3 % X: input matrix | |
| 4 % SMOOTH: samples - size of square smoothing window | |
| 5 % NPASSES: number of smoothing passes (default=1) | |
| 6 % TRIM: if true, clip Y to same size as X | |
| 7 % | |
| 8 % Y: output matrix | |
| 9 % | |
| 10 % RSMOOTH smooths each column of matrix X by convolution with a square window | |
| 11 % followed by division by the window size. | |
| 12 % Multiple passes allow smoothing with a triangular window (npasses=2), or | |
| 13 % window shapes that approach a gaussian (npasses large). Convolution is | |
| 14 % implemented as a running sum for speed. | |
| 15 % | |
| 16 % Y has NPASSES*(SMOOTH-1) more rows than X unless TRIM is set. | |
| 17 % | |
| 18 % mex function |