Interpolation Functions

These functions perform 1- and 2-dimensional interpolation of data. Linear interpolation is used for 1-dimensional data and bilinear interpolation is used for 2-dimensional data. More...

Modules
	Bilinear Interpolation
	Bilinear interpolation is an extension of linear interpolation applied to a two dimensional grid. The underlying function f(x, y) is sampled on a regular grid and the interpolation process determines values between the grid points. Bilinear interpolation is equivalent to two step linear interpolation, first in the x-dimension and then in the y-dimension. Bilinear interpolation is often used in image processing to rescale images. The NMSIS DSP library provides bilinear interpolation functions for Q7, Q15, Q31, and floating-point data types.
	Linear Interpolation
	Linear interpolation is a method of curve fitting using linear polynomials. Linear interpolation works by effectively drawing a straight line between two neighboring samples and returning the appropriate point along that line.
	Cubic Spline Interpolation
	Spline interpolation is a method of interpolation where the interpolant is a piecewise-defined polynomial called "spline".

Detailed Description

These functions perform 1- and 2-dimensional interpolation of data. Linear interpolation is used for 1-dimensional data and bilinear interpolation is used for 2-dimensional data.