pagectranspose

Page-wise complex conjugate transpose

Since R2020b

Syntax

Y = pagectranspose(X)

Description

Y = pagectranspose(X) applies the complex conjugate transpose to each page of N-D array X. Each page of the output Y(:,:,i) is the conjugate transpose of the corresponding page in X, as in X(:,:,i)'.

Examples

Transpose Pages of Complex N-D Array

Create a 3-D complex array A, and then use pagectranspose to find the complex conjugate transpose of each page of the array.

r = repelem(1:3,3,1);
A = cat(3,r,2*r,3*r);
A = A + 1i

A = 
A(:,:,1) =

   1.0000 + 1.0000i   2.0000 + 1.0000i   3.0000 + 1.0000i
   1.0000 + 1.0000i   2.0000 + 1.0000i   3.0000 + 1.0000i
   1.0000 + 1.0000i   2.0000 + 1.0000i   3.0000 + 1.0000i


A(:,:,2) =

   2.0000 + 1.0000i   4.0000 + 1.0000i   6.0000 + 1.0000i
   2.0000 + 1.0000i   4.0000 + 1.0000i   6.0000 + 1.0000i
   2.0000 + 1.0000i   4.0000 + 1.0000i   6.0000 + 1.0000i


A(:,:,3) =

   3.0000 + 1.0000i   6.0000 + 1.0000i   9.0000 + 1.0000i
   3.0000 + 1.0000i   6.0000 + 1.0000i   9.0000 + 1.0000i
   3.0000 + 1.0000i   6.0000 + 1.0000i   9.0000 + 1.0000i

B = pagectranspose(A)

B = 
B(:,:,1) =

   1.0000 - 1.0000i   1.0000 - 1.0000i   1.0000 - 1.0000i
   2.0000 - 1.0000i   2.0000 - 1.0000i   2.0000 - 1.0000i
   3.0000 - 1.0000i   3.0000 - 1.0000i   3.0000 - 1.0000i


B(:,:,2) =

   2.0000 - 1.0000i   2.0000 - 1.0000i   2.0000 - 1.0000i
   4.0000 - 1.0000i   4.0000 - 1.0000i   4.0000 - 1.0000i
   6.0000 - 1.0000i   6.0000 - 1.0000i   6.0000 - 1.0000i


B(:,:,3) =

   3.0000 - 1.0000i   3.0000 - 1.0000i   3.0000 - 1.0000i
   6.0000 - 1.0000i   6.0000 - 1.0000i   6.0000 - 1.0000i
   9.0000 - 1.0000i   9.0000 - 1.0000i   9.0000 - 1.0000i

Input Arguments

X — Input array

multidimensional array

Input array, specified as a multidimensional array.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical | char | string | struct | cell | categorical | datetime | duration | calendarDuration
Complex Number Support: Yes

More About

Array Pages

Page-wise functions like pagectranspose operate on 2-D matrices that have been arranged into a multidimensional array. For example, with a 3-D array the elements in the third dimension of the array are commonly called pages because they stack on top of each other like pages in a book. Each page is a matrix that gets operated on by the function.

You can also assemble a collection of 2-D matrices into a higher dimensional array, like a 4-D or 5-D array, and in these cases pagectranspose still treats the fundamental unit of the array as a 2-D matrix that gets operated on, such as X(:,:,i,j,k,l).

The cat function is useful for assembling a collection of matrices into a multidimensional array, and the zeros function is useful for preallocating a multidimensional array.

Tips

• The page-wise complex conjugate transpose is equivalent to permuting the first two dimensions of the array with permute(conj(X),[2 1 3:ndims(X)]).

Extended Capabilities

C/C++ Code Generation

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

Usage notes and limitations:

• Code generation does not support cell arrays for this function.

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.

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).

Distributed Arrays

Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.

This function fully supports distributed arrays. For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).

Version History

Introduced in R2020b