How can I perform root-raised cosine filtering on very large data sets using the RCOSFLT function without memory issues using the Communications Toolbox 3.4 (R2006b)?
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
MathWorks Support Team
el 27 de Jun. de 2009
Respondida: Tasos Giannoulis
el 25 de En. de 2017
I am using the function RCOSFLT to filter out a very large data set. The set is so large that I face memory problems when I try to use the function. I want to know if there is a way that I can break up the data set and filter each set and then remember the state of the filter for the next data set to maintain continuity.
Respuesta aceptada
MathWorks Support Team
el 27 de Jun. de 2009
This is currently not possible for the RCOSFLT function in Communications Toolbox 3.4 (R2006b).
To work around this issue, you can design the root raised cosine filter using function in the Communications Toolbox and then use the FILTER function to filter each of the many data sets and return the filter state each time. The FILTER function is able to return its states.
0 comentarios
Más respuestas (1)
Tasos Giannoulis
el 25 de En. de 2017
You can also use the corresponding System objects: comm.RaisedCosineTransmitFilter, comm.RaisedCosineReceiveFilter. System objects inherently retain state, so you can break down your large input and pass it to the System object's step() method bit by bit. State will retained between successive step() calls.
0 comentarios
Ver también
Categorías
Más información sobre Multirate and Multistage Filters en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!