Code covered by the BSD License
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Omegapsi=Omegapsi_rbf(Xc,X1,X...
Omegapsi=Omegapsi_rbf(Xc,X1,X2,k_i,c0,basisfunction)
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Phi_int=rbf_integral(Xc,X1,X2...
calculates a line integral between X1 [x y] and X2 for a radial basis
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[W phi]=train_rbf(X,Y,Xc,k_i,...
trains a radial basis function
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[Y_int Phi_int]=rbfn_integral...
calculates a line integral between X1 [x y] and X2 for a radial basis
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[z phi]=sim_rbf(Xc,X,W,k_i,ba...
simulates a radial basis function
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[zeta_u zeta_v]=zeta_uv(Xc,X,...
calculates zeta_u and zeta_v matrices such that we can calculated the velocities
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acoustic_tomography_example.m
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View all files
RBF Acoustic Tomography
by Travis Wiens
19 Nov 2008
(Updated 17 Jul 2009)
Recreate temperature and flow fields from acoustic time-of-flight data.
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| File Information |
| Description |
Acoustic tomography involves sending a sonic signal across a measurement area and timing how long it takes to travel the distance. A number of transducers are situated around the measurement area to achieve this. Since the absolute sonic speed is affected by temperature and wind speed, so is the time of flight. It is possible to reconstruct the temperature and wind velocity from the collection of time-of-flight data.
This package gives an example of using radial basis function networks to allow for a linear solution to the inverse problem. The example data is from a Karman vortex street behind a cylinder.
See http://blog.nutaksas.com for more details. |
| MATLAB release |
MATLAB 7.4 (R2007a)
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| Updates |
| 17 Jul 2009 |
Removed GPL per Mathworks' requirements. |
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