We can mention extrapolation to вЂextrapвЂ™ if we want to apply the extrapolation algorithm to the points. aq=interp1(x, a, xq, method, extrapolation method): Extrapolation can be defined in the syntax if we want to check the points that are declared outside the defined value of x.The default method used is always linear. There are many interpolation methods like nearest, linear, next, previous, cubic, v5cubic, pchip, spline or makima. aq=interp1(x, a, xq, method): Here we can change the interpolation method, which we will discuss later.If there are many values, then a can be declared in an array. The input вЂxвЂ™ is a vector that contains every sample point, a has the defined values and xq contains the coordinates. aq=interp1(x, a, xq): This returns the interpolated values of the function (one-dimensional) with the help of the linear interpolation method.

Here, we will mainly discuss one-dimensional interpolation or linear interpolation syntax: Various functions are associated with interpolation techniques. It is used to find the missing data in the data set, smoothen the given data set or predict the outcome of the given data set. In Matlab, interpolation is the procedure of including new points within a defined range or a given set of points. Working of Interpolation in Matlab with Syntax and Examples: Hadoop, Data Science, Statistics & others

Matlab interp1