Smooth noisy data |
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Sample points, specified as a vector of sample point values or one of the options in the following table when the input data is a table. The sample points represent the x-axis locations of the data, and must be sorted and contain unique elements. Sample points do not need to be uniformly sampled. The vector [1 2 3 ...] is the default. When the input data is a table, you can specify the sample points as a table variable using one of these options: Indexing SchemeExamplesVariable name: A string scalar or character vector
"A" or 'A' — A variable named A
Variable index: An index number that refers to the location of a variable in the table A logical vector. Typically, this vector is the same length as the number of variables, but you can omit trailing 0 or false values
3 — The third variable from the table [false false true] — The third variable
Function handle: A function handle that takes a table variable as input and returns a logical scalar
@isnumeric — One variable containing numeric values Variable type: A vartype subscript that selects one variable of a specified type
vartype("numeric") — One variable containing numeric values
Note This name-value argument is not supported when the input data is a timetable. Timetables use the vector of row times as the sample points. To use different sample points, you must edit the timetable so that the row times contain the desired sample points. Moving windows are defined relative to the sample points. For example, if t is a vector of times corresponding to the input data, then smoothdata(rand(1,10),3,"SamplePoints",t) has a window that represents the time interval between t(i)-1.5 and t(i)+1.5. When the sample points vector has data type datetime or duration, the moving window length must have type duration. Example: smoothdata(A,"SamplePoints",0:0.1:10) Example: smoothdata(T,"SamplePoints","Var1") Data Types: double | single | datetime | duration |
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