Bit-wise XOR - MATLAB bitxor (2024)

Syntax Description Examples Truth Table Negative Values Input Arguments A,B — Input values scalars | vectors | matrices | multidimensional arrays assumedtype — Assumed data type of A and B 'uint64' | 'uint32' | 'uint16' | 'uint8' | 'int64' | 'int32' | 'int16' | 'int8' netobj1, netobj2 — Input values .NET enumeration objects Output Arguments C — Bit-wise XOR result array objout — Bit-wise XOR result .NET enumeration object Extended Capabilities C/C++ Code Generation Generate C and C++ code using MATLAB® Coder™. GPU Code GenerationGenerate CUDA® code for NVIDIA® GPUs using GPU Coder™. HDL Code GenerationGenerate VHDL, Verilog and SystemVerilog code for FPGA and ASIC designs using HDL Coder™. Thread-Based EnvironmentRun 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™. Version History See Also Topics MATLAB Command Americas Europe Asia Pacific References

A = uint8([0 1; 0 1]);B = uint8([0 0; 1 1]);TTable = bitxor(A, B)

TTable = 2x2 uint8 matrix 0 1 1 0

a = -5;bitget(a,8:-1:1,'int8')

ans = 1×8 1 1 1 1 1 0 1 1

b = 6;bitget(b,8:-1:1,'int8')

ans = 1×8 0 0 0 0 0 1 1 0

c = bitxor(a,b,'int8')

c = -3

bitget(c,8:-1:1,'int8')

ans = 1×8 1 1 1 1 1 1 0 1