upsample

Increase sample rate by integer factor

Syntax

y = upsample(x,n)

y = upsample(x,n,phase)

Description

y = upsample(x,n) increases the sample rate of x by inserting n – 1 zeros between samples. If x is a matrix, the function treats each column as a separate sequence.

y = upsample(x,n,phase) specifies the number of samples by which to offset the upsampled sequence.

Examples

Increase Sample Rates

Increase the sample rate of a sequence by a factor of 3.

x = [1 2 3 4];
y = upsample(x,3)

y = 1×12

     1     0     0     2     0     0     3     0     0     4     0     0

Increase the sample rate of the sequence by a factor of 3 and add a phase offset of 2.

x = [1 2 3 4];
y = upsample(x,3,2)

y = 1×12

     0     0     1     0     0     2     0     0     3     0     0     4

Increase the sample rate of a matrix by a factor of 3.

x = [1 2;
     3 4;
     5 6];
y = upsample(x,3)

y = 9×2

     1     2
     0     0
     0     0
     3     4
     0     0
     0     0
     5     6
     0     0
     0     0

Input Arguments

x — Input array

vector | matrix

Input array, specified as a vector or matrix. If x is a matrix, the function treats the columns as independent channels.

Example: cos(pi/4*(0:159)) + randn(1,160) specifies a sinusoid embedded in white Gaussian noise.

Example: cos(pi./[4;2]*(0:159))' + randn(160,2) specifies a two-channel noisy sinusoid.

n — Upsampling factor

positive integer

Upsampling factor, specified as a positive integer.

Data Types: single | double

phase — Offset

0 (default) | positive integer

Offset, specified as a positive integer from 0 to n – 1.

Data Types: single | double

Output Arguments

y — Upsampled array

vector | matrix

Upsampled array, returned as a vector or matrix. y has x × n samples.

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

GPU Arrays

Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

This function fully supports GPU arrays. For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).

Version History

Introduced before R2006a