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Fri May 24 15:50:01 EDT 2013

## Grid

What is the basic idea? DSP is about computations on a grid. There
are different ways of constructing grids. What we're interested in is
local context: given a point on a grid, there is a way to get to a
neighbouring point.
One limitiation is important: the time dimension is special. If the
time dimension is causal (computations never refer to the future) it
is possible to re-arrange the computations in such a way that they
take the form of a state space model.
The key point is to be able to separate the description of grid
computations and their dependencies, from an actual implementation as
loops.
It's probably time to take a look again at APL and J.

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