This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English version of the page.

Note: This page has been translated by MathWorks. Click here to see
To view all translated materials including this page, select Country from the country navigator on the bottom of this page.

Binary Symmetric Channel

Introduce binary errors

  • Library:
  • Communications Toolbox / Channels

Description

The Binary Symmetric Channel block introduces errors to the input signal transmitted through a binary symmetric channel. The errors are introduced based on the specified Error probability. For more information, see Tips.

Ports

Input

expand all

Input signal, specified as a column vector or an NS-by-NC matrix of Boolean values. NS is the number of samples per channel. NC is the number of independent data channels. For more information, see Tips.

Output

expand all

Binary output signal, returned as a column vector or matrix with the same dimensions as Input. The output signal is a version of the input signal that has been modified by introducing random errors based on the specified Error probability. To set the output data type, use Output data type.

Error locations, returned as a column vector or matrix with the same dimensions as Input. Element values in Err are 1 or 0, where:

  • 1 indicates that the corresponding element in Output has an error.

  • 0 indicates that the corresponding element in Output does not have an error.

The data type of Err is the same as Output, as set by Output data type.

Dependencies

To enable this port, select Output error vector.

Parameters

expand all

Probability of error occurrence for the input signal elements, specified as a scalar in the range [0,1]. The probability of error applies independently for each element.

To enable the Err output port to the block, select this parameter.

Select the output data type as double, single, or boolean. This parameter sets the output data type for both the Output and Err ports.

Initial seed value for the random number generator used by the block, specified as an integer. The block uses the mt19937ar algorithm to generate uniformly distributed random numbers. For details about the mt19937ar algorithm, see Choosing a Random Number Generator (MATLAB).

Type of simulation to run, specified as:

  • Code generation –– Simulate the model using generated C code. The first time you run a simulation, Simulink® generates C code for the block. The C code is reused for subsequent simulations as long as the model does not change. This option requires additional startup time.

  • Interpreted execution –– Simulate the model using the MATLAB® interpreter. This option shortens startup time. In Interpreted execution mode, you can debug the source code of the block.

Block Characteristics

Data Types

Boolean | double | fixed point | integer | single

Multidimensional Signals

no

Variable-Size Signals

no

Tips

  • When the input consists of not Boolean values, Binary Symmetric Channel converts zero-valued elements to 0 and converts nonzero-valued elements to 1.

  • The Binary Symmetric Channel block creates and uses an independent RandStream to provide a random number stream for probability determination.

  • To generate repeatable results, use the same Initial seed value.

  • To generate independent probability statistics, set different Initial seed values for multichannel signals, multiple processing chains, or simulation runs.

Compatibility Considerations

expand all

Behavior changed in R2018b

Extended Capabilities

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

Introduced before R2006a