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

Problem $1$: 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 unfiltered data 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$1$AAA$($t$,$ x$,$ws$)$

Problem $2$: 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 zero$-$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$2$AAA$($t$,$x$,$ws$)$