conj

Complex conjugate

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Syntax

Zc = conj(Z)

Description

Zc = conj(Z) returns the complex conjugate of each element in Z.

example

Examples

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Find Complex Conjugate of Complex Number

Open Live Script

Find the complex conjugate of the complex number Z.

Z = 2+3i

Z = 
2.0000 + 3.0000i

Zc = conj(Z)

Zc = 
2.0000 - 3.0000i

Find Complex Conjugate of Complex Values in Matrix

Open Live Script

Create a 2-by-2 matrix with complex elements.

Z = [0-1i 2+1i; 4+2i 0-2i]

Z = 2×2 complex

   0.0000 - 1.0000i   2.0000 + 1.0000i
   4.0000 + 2.0000i   0.0000 - 2.0000i

Find the complex conjugate of each complex number in matrix Z.

Zc = conj(Z)

Zc = 2×2 complex

   0.0000 + 1.0000i   2.0000 - 1.0000i
   4.0000 - 2.0000i   0.0000 + 2.0000i

Input Arguments

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`Z` — Input array
scalar | vector | matrix | multidimensional array

Input array, specified as a scalar, vector, matrix, or multidimensional array. conj operates element-wise when Z is nonscalar.

Extended Capabilities

Tall Arrays
Calculate with arrays that have more rows than fit in memory.

The conj function fully supports tall arrays. For more information, see Tall Arrays.

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

GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

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™.

The conj function fully supports GPU arrays. To run the function on a GPU, specify the input data as a gpuArray (Parallel Computing Toolbox). 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 before R2006a

conj

Syntax

Description

Examples

Find Complex Conjugate of Complex Number

Find Complex Conjugate of Complex Values in Matrix

Input Arguments

Z — Input array scalar | vector | matrix | multidimensional array

Extended Capabilities

Tall Arrays Calculate with arrays that have more rows than fit in memory.

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

GPU Code Generation Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

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

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

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