| Products & Services | Solutions | Academia | Support | User Community | Company |
| Download Product Updates | | | Get Pricing | | | Trial Software |
| Documentation → Filter Design Toolbox |
| Contents | Index |
| Learn more about Filter Design Toolbox |
Refer to dfilt.parallel in Signal Processing Toolbox documentation.
hd = dfilt.parallel(hd1,hd2,...) returns a discrete-time filter object hd, which is a structure of two or more dfilt filter objects, hd1, hd2, and so on arranged in parallel.
You can also use the standard notation to combine filters into a parallel structure.
parallel(hd1,hd2,...)
In this syntax, hd1, hd2, and so on can be a mix of dfilt objects, mfilt objects, and adaptfilt objects.

hd1, hd2, and so on can be fixed-point filters. All filters in the parallel structure must be the same arithmetic format — double, single, or fixed. hd, the filter returned, inherits the format of the individual filters.
dfilt, dfilt.cascade, parallel
dfilt.cascade, dfilt.parallel in Signal Processing Toolbox documentation
![]() | dfilt.latticemamin | dfilt.scalar | ![]() |

Learn how to apply early verification to your development process through these technical resources.
How much time do you spend on testing to ensure implementation meets system-level requirements?
| © 1984-2009- The MathWorks, Inc. - Site Help - Patents - Trademarks - Privacy Policy - Preventing Piracy - RSS |