Remove $00$:$1576\mathrm{.}3$ after filtering, as it's $>5$ degrees from $67\mathrm{.}3$ at $00$:$14.$

Consecutive Sample Low$-$Pass Filtering

Apply a low$-$pass filter to reduce noise in temperature sensor readings.

Use a simple low$-$pass filter for filtering consecutive temperature readings.

filtered$\_$output $(0)=$ unfiltered$\_$input$((0)$

filtered$\_$output $(n)=0\mathrm{.}9375**$ filtered$\_$output$(n-1*$ unfiltered$\_$input$($n$)$

After removing erroneous data, apply a low$-$pass filter to consecutive temperature

readings.

Restart the filter if any gaps in timestamps are found.

Final output:

TT$.$TTTTTT: Filtered temperature in Fahrenheit as a floating$-$point value with $6$

decimal digits.

Remove $00$:$1576\mathrm{.}3$ after filtering, as it's $>5$ degrees from $67\mathrm{.}3$ at $00$:$14.$

$00$:$1067\mathrm{.}6$

$00$:$11,67\mathrm{.}3$

$00$:$12,67\mathrm{.}2$

$00$:$13,67\mathrm{.}2$

$00$:$14,67\mathrm{.}3$

$00$:$1667\mathrm{.}2$

$00$:$17,67\mathrm{.}3$

$00$:$1867\mathrm{.}3$

$00$:$1967\mathrm{.}6$

$00$:$20,67\mathrm{.}1$

Consecutive Sample Low$-$Pass Filtering

Apply a low$-$pass filter to reduce noise in temperature sensor readings.

Use a simple low$-$pass filter for filtering consecutive temperature readings.

filtered$\_$output$($o$)=$ unfiltered$\_$input$($o$)$

filtered$\_$output $(n)=0\mathrm{.}9375**$ filtered$\_$output$($n$-1)+0\mathrm{.}0625**$ unfiltered$\_$input$($n$)$

After removing erroneous data, apply a low$-$pass filter to consecutive temperature

readings.

Restart the filter if any gaps in timestamps are found.

Final output:

TT$.$TTTTTT: Filtered temperature in Fahrenheit as a floating$-$point value with $6$

decimal digits.

$00$:$1067\mathrm{.}598517$

$00$:$11,67\mathrm{.}579860$

$00$:$12,67\mathrm{.}556119$

$00$:$13,67\mathrm{.}533861$

$00$:$14,67\mathrm{.}519245$

$00$:$16,67\mathrm{.}200000$

$00$:$17,67\mathrm{.}206250$

$00$:$18,67\mathrm{.}212109$

$00$:$19,67\mathrm{.}236353$

$00$:$20,67\mathrm{.}227831$