Main Content

DC Blocker

Block DC component

  • DC Blocker block

Libraries:
DSP System Toolbox / Signal Operations
Communications Toolbox / Comm Filters
Communications Toolbox / RF Impairments Correction
DSP System Toolbox HDL Support / Signal Operations
Communications Toolbox HDL Support / Comm Filters

Description

The DC Blocker block removes the DC component of the input signal.

This block supports C/C++ code generation and SIMD code generation. For details, see Code Generation.

Ports

Input

expand all

Specify the input signal that contains the DC component as a scalar, vector, or a matrix. When the input is fixed-point, it is signed only.

Data Types: single | double | int8 | int16 | int32 | fixed point
Complex Number Support: Yes

Output

expand all

Output signal with the DC component removed. When the output is fixed-point, it is signed only.

The size, data type, and complexity of the output signal are the same as that of the input signal.

Data Types: single | double | int8 | int16 | int32 | fixed point
Complex Number Support: Yes

Parameters

expand all

Specify the algorithm used for estimating the DC offset. Select from the following:

  • IIR uses a recursive estimate based on a narrow, lowpass elliptic filter. This algorithm typically uses less memory than FIR and is more efficient.

  • FIR uses a nonrecursive, moving-average estimate. This algorithm typically uses more memory than IIR and is less efficient.

  • CIC uses a lowpass filter that does not employ any multipliers. If the algorithm is CIC, then fixed-point data must be input to the DC Blocker.

  • Subtract mean computes the means of the columns of the input matrix and subtracts the means from the input. This method does not retain state between inputs. For example, if the input is [1 2 3 4; 3 4 5 6], then the DC Blocker block in Subtract mean mode outputs [-1 -1 -1 -1; 1 1 1 1].

Specify the normalized filter bandwidth as a real scalar greater than 0 and less than 1.

Dependencies

The DC Blocker uses this parameter only when the estimation algorithm is set to IIR or CIC.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64

Specify the filter order of the lowpass IIR elliptic filter as an integer greater than 3.

Dependencies

The DC Blocker uses this parameter only when the estimation algorithm is set to IIR.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64

Specify, as a positive integer, the number of samples to use when the estimation algorithm is set to FIR.

Dependencies

The DC Blocker uses this parameter only when the estimation algorithm is set to FIR.

Data Types: single | double

Opens the fvtool and displays the magnitude response of the DC Blocker. The response is based on the block parameters. Changes made to these parameters update fvtool.

Block dialog and the FVTool window arranged side by side.

To update the magnitude response while fvtool is running, modify the block parameters and click Apply.

Specify the type of simulation to run as one of the following:

  • Code generation –– Simulate model using generated C code. The first time you run a simulation, Simulink® generates C code for the block. Simulink reuses the C code in subsequent simulations as long as the model does not change. This option requires additional startup time but subsequent simulations are faster compared to Interpreted execution.

  • Interpreted execution –– Simulate model using the MATLAB®  interpreter. This option shortens startup time but subsequent simulations are slower compared to Code generation.

Block Characteristics

Data Types

double | fixed point | integer | single

Direct Feedthrough

no

Multidimensional Signals

no

Variable-Size Signals

yesa

Zero-Crossing Detection

no

a 

Algorithms

expand all

The DC blocker subtracts the DC component from the input signal. You can estimate the DC component by using the IIR, FIR, CIC, or subtract mean algorithm.

References

[1] Nezami, M.K. “Performance Assessment of Baseband Algorithms for Direct Conversion Tactical Software Defined Receivers: I/Q Imbalance Correction, Image Rejection, DC Removal, and Channelization.” In MILCOM 2002. Proceedings, 369–76. Anaheim, CA, USA: IEEE, 2002.

Extended Capabilities

Version History

Introduced in R2014a