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, a can be declared in an array. The input ‘x’ 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 accompany interpolation techniques. It is used to find the missing data in the data set, smoothen the given data set or predict the outcome. 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:

In this topic, we are going to learn about MATLAB Interpolation. Interpolation methods can be used in creating various models in statistics. It is a procedure to estimate the points within a defined range. Interpolation is mainly used in mathematics, image scaling, and digital signal processing methods.

Matlab interp1