[SciPy-User] 2d inverse parabolic interpolation
Wed Aug 11 05:55:02 CDT 2010
Charles R Harris wrote:
> On Tue, Aug 10, 2010 at 12:49 PM, Neal Becker <email@example.com> wrote:
>> In 1-d, inverse parabolic interpolation is a useful operation. It is
>> described in e.g., NRC sec 10.2 (Numerical Recipes in C).
>> Is there an equivalent for 2d? Is there any scipy code?
> What do you want to do? What do you mean by equivalent? I suspect the
> answer is no since a map from 2d to 1d doesn't have an inverse and the
> inverse image is likely to be a manifold.
In 1d, the operation is: giving 3 grid points of which the center point is
the minimum of the 3, find the location of the minimum (a position not
necessarily on the grid) (of a parabola passing through these 3 points).
I was wondering if there is a similar operation for 2d, which would take
perhaps the 8 grid points surrounding 1 point and find position of a
The application is a time-frequency search. A set of points is given in 2d,
quantized in time and frequency. Find the position (time and frequency) of
the true minimum (approximately, and inexpensively).
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