interp1q

(Not recommended) Quick 1-D interpolation

interp1q is not recommended. Use interp1 instead.

Syntax

yi = interp1q(x,Y,xi)

Description

yi = interp1q(x,Y,xi) returns the interpolated value of the 1-D function Y at the points of column vector xi. The vector x specifies the coordinates of the underlying interval.

Examples

Linear Interpolation Using interp1q

Generate a coarse sine curve and interpolate over a finer abscissa.

x = (0:10)'; 
y = sin(x); 
xi = (0:.25:10)'; 
yi = interp1q(x,y,xi); 
plot(x,y,'o',xi,yi)

Input Arguments

x — Sample points

column vector

Sample points, specified as a monotonically increasing column vector. The sample points in x are the x-coordinates of the sample data in Y.

Example: [1; 2; 3; 4]

Example: [1.1; 2.4; 3.2; 4.7]

Data Types: single | double
Complex Number Support: Yes

Y — Sample data

column vector | matrix

Sample data, specified as a column vector or matrix. The sample data in Y represents function values at the coordinates in x.

• If Y is a column vector, then it must have length(x) elements. The length of output yi is equal to length(xi).

• If Y is a matrix, then it must have length(x) rows and the interpolation is performed for each column of Y. In that case, the size of yi is length(xi)-by-size(Y,2).

Example: [1; 4; 9; 16]

Example: [0.1; 1.4; 2.2; 3.7]

Data Types: single | double
Complex Number Support: Yes

xi — Query points

column vector

Query points, specified as a column vector. The query points are locations where interp1q uses linear interpolation to determine the approximate value of the function represented by Y.

interp1q returns NaN for any values of xi that lie outside the coordinates in x.

Example: [1.5; 2.5]

Data Types: single | double
Complex Number Support: Yes

Extended Capabilities

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

• Results might not match MATLAB^® when some Y values are Inf or NaN.

Thread-Based Environment

Run code in the background using MATLAB® backgroundPool or accelerate code with Parallel Computing Toolbox™ ThreadPool.

This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.

Version History

Introduced before R2006a