From 47535ab08afeb48fbb00f03e68d6ff973cf62cbd Mon Sep 17 00:00:00 2001 From: Abhinav Dronamraju Date: Fri, 10 Nov 2017 14:59:26 +0530 Subject: Functions added --- help/en_US/scilab_en_US_help/medfilt1.html | 122 ----------------------------- 1 file changed, 122 deletions(-) delete mode 100644 help/en_US/scilab_en_US_help/medfilt1.html (limited to 'help/en_US/scilab_en_US_help/medfilt1.html') diff --git a/help/en_US/scilab_en_US_help/medfilt1.html b/help/en_US/scilab_en_US_help/medfilt1.html deleted file mode 100644 index c909f73..0000000 --- a/help/en_US/scilab_en_US_help/medfilt1.html +++ /dev/null @@ -1,122 +0,0 @@ - - - medfilt1 - - - -
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- << marcumq - - -<<<<<<< HEAD - FOSSEE Signal Processing Toolbox -======= - FOSSEE Signal Processing Toolbox ->>>>>>> 3f916032cc0b2efdeafb838dd10e1141ead2cb27 - - - mexihat >> - -
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- - - -<<<<<<< HEAD - FOSSEE Signal Processing Toolbox >> FOSSEE Signal Processing Toolbox > medfilt1 -======= - FOSSEE Signal Processing Toolbox >> FOSSEE Signal Processing Toolbox > medfilt1 ->>>>>>> 3f916032cc0b2efdeafb838dd10e1141ead2cb27 - -

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medfilt1

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1D median filtering

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Calling Sequence

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Description

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y = medfilt1(x) -Applies a 3rd order 1-dimensional median filter to input x along the -first non-zero dimension. The function appropriately pads the signal -with zeros at the endings. For a segment, a median is calculated as -the middle value (average of two middle values) for odd number -number (even number) of data points. -y = medfilt1(x,n) -Applies a nth order 1-dimensional median filter. -y = medfilt1(x,n,dim) -Applies the median filter along the n-th dimension -y = medfilt1(__, nanflag, padding) -nanflag specifies how NaN values are treated. padding specifies the -type of filtering to be performed at the signal edges.

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Parameters

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x: -

int | double

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n: -

positive integer scalar

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dim: -

positive integer scalar

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nanflag: -

'includenan' (default) | 'omitnan'

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* includenan: -

Filtering such that the median of any segment

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* omitnan: -

Filtering with NaNs omitted in each segment. If a segment

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y: -

int | double

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Examples

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1) Noise supression using median filtering
-fs = 1e3;
-t =  1:1/fs:1;
-s = sin(2*%pi*2*t)+ cos(2*%pi*5*t);
-// Adding noise
-x = s + 0.1*randn(size(s));
-y = medfilt1(x);
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See also

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Authors

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Report an issue
- << marcumq - - -<<<<<<< HEAD - FOSSEE Signal Processing Toolbox -======= - FOSSEE Signal Processing Toolbox ->>>>>>> 3f916032cc0b2efdeafb838dd10e1141ead2cb27 - - - mexihat >> - -
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- - -- cgit