Keywords: Dataflow, Synchronous dataflow, multidimensional dataflow,
multidimensional signal processing with non-rectangular lattices,
graphical programming environments, block diagram languages,
tools for rapid prototyping.
by Praveen. K. Murthy,
and Edward. A. Lee.
The following is a conference (Proceedings
of the ICASSP 1996, Atlanta, GA, May 7-10 1996) version of the above.
It is shorter and contains only the main ideas.
A Generalization of Multidimensional Synchronous Dataflow to Handle
Arbitrary Sampling Lattices
UCB Tech. Memorandum UCB/ERL M95/59, March 20, 1995, Electronics Research
Laboratory, UC Berkeley CA 94720.
Multidimensional Synchronous Dataflow (MDSDF)  is a model of computation that has been pro
posed for specifying multidimensional multirate signal processing systems such as image and video processing algo
rithms. The model is an extension of synchronous dataflow (SDF)  and has all of the desirable properties of the
SDF model such as static schedulability, exposition of data and functional parallelism, and a visually pleasing syntax
well suited for block diagram signal processing environments such as Ptolemy  and Khoros . However, the
MDSDF model as specified in  is limited to modelling multidimensional systems sampled on the standard rectan
gular lattice. Since many multidimensional signals of practical interest are sampled on non-rectangular lattices, for
example, 2:1 interlaced video signals, and many multidimensional multirate systems use non-rectangular multirate
operators like hexagonal decimators, it is of interest to have models that are capable of representing and simulating
such systems. This report describes an extension of the MDSDF model that allows signals on arbitrary sampling lat
tices to be represented, and that allows the use of non-rectangular downsamplers and upsamplers.
by Praveen. K. Murthy, and Edward. A. Lee.
The following is a conference (Proceedings of the ICASSP 1996, Atlanta, GA, May 7-10 1996) version of the above. It is shorter and contains only the main ideas.