bitget
Get bit at specified position
Description
Examples
Maximum Integer
Find the difference in the binary representation between the maximum integer of signed and unsigned integers.
a1 = intmax('int8'); a2 = intmax('uint8'); b1 = bitget(a1,8:-1:1)
b1 = 1x8 int8 row vector
0 1 1 1 1 1 1 1
b2 = bitget(a2,8:-1:1)
b2 = 1x8 uint8 row vector
1 1 1 1 1 1 1 1
The signed integers require a bit to accommodate negative integers.
Negative Numbers Using Two's Complement
Find the 8-bit representation of a negative number.
A = -29;
b = bitget(A,8:-1:1,'int8')
b = 1×8
1 1 1 0 0 0 1 1
Input Arguments
A
— Input values
array
Input values, specified as an array. A
can
be a scalar or an array of the same size as bit
.
If
A
is a double array, andassumedtype
is not specified, then MATLAB® treatsA
as an unsigned 64-bit integer.If
assumedtype
is specified, then all elements inA
must have integer values within the range ofassumedtype
.
Data Types: double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
bit
— Bit position
integer | integer array
Bit position, specified as an integer or integer array. bit
can
be a scalar or an array of the same size as A
. bit
must
be between 1 (the least-significant bit) and the number of bits in
the integer class of A
.
Data Types: double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
assumedtype
— Assumed data type of A
'uint64'
| 'uint32'
| 'uint16'
| 'uint8'
| 'int64'
| 'int32'
| 'int16'
| 'int8'
Assumed data type of A
, specified as 'uint64'
, 'uint32'
, 'uint16'
, 'uint8'
, 'int64'
, 'int32'
, 'int16'
,
or 'int8'
.
If
A
is a double array, thenassumedtype
can specify any valid integer type, but defaults to'uint64'
.If
A
is an integer type array, thenassumedtype
must specify that same integer type.
Data Types: char
| string
Output Arguments
b
— Bit value at bit
array
Bit value at bit
, returned as an array of 0
s
and 1
s. b
is the same data type
as A
.
If
A
andbit
are scalars, thenb
is also a scalar.If either
A
orbit
is an array, thenb
is the same size as that array.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.
HDL Code Generation
Generate VHDL, Verilog and SystemVerilog code for FPGA and ASIC designs using HDL 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 bitget
function
supports GPU array input with these usage notes and limitations:
At least one of input values
A
and bit positionbit
must be an integer data type.The
assumedtype
argument is not supported.
For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).
Version History
Introduced before R2006a
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