Hello! The answer should be given in MATLAB code! Thank you!

Problem $3$: Create a function that performs median filtering on $1-$D timeseries data expressed as t and x$,$ and accepts

a $3^("$rd $")$ argument of window size $($window size will be odd$).$ Use symmetric padding for the ends. While any data $($vector

of t and v $)$ should work, the function will be tested on data from aami$3$a$\_$up$.$csv and aami$3$d$\_$up$.$csv data with window

sizes of $5-101.$ Please describe your observations. $[$xf$]=$ HW$3$P$3$AAA$($t$,$ x$,$ws$)$

Problem $4$: Create a function that performs mean filtering on $1-$D timeseries data expressed as t and x$,$ and accepts a

$3^("$rd $")$ argument of window size $($window size will be odd$).$ Use symmetric padding for the ends. While any data $($vector

of t and v $)$ should work, the function will be tested on data from aami$3$a$\_$up$.$csv and aami$3$d$\_$up$.$csv data with window

sizes of $5-101.$ Please describe your observations. $[$xf$]=$ HW$3$P$4$AAA$($t$,$ x$,$ws$)$

Problem $5$: Create a function that performs mean filtering on $1-$D timeseries data expressed as t and x$,$ and accepts a

$3^("$rd $")$ argument of window size $($window size will be odd$).$ Make use of the built in filter$()$ function. While any data

$($vector of t and v $)$ should work, the function will be tested on data from aami$3$a$\_$up$.$csv and aami$3$d$\_$up$.$csv data with

window sizes of $5-101.$ Please describe your observations. $[$xf$]=$HW$3$P$5$AAA$($t$,$x$,$ws$)$