Research interests:

Methodology of inverse problems and more specifically probabilististic methods such as maximum entropy, maximum entropy in the mean, the bayesian estimation theory and data fusion.

• Inverse problems
• Source separation
• Data fusion
• Image reconstruction and  tomography
• Deconvolution
• Fourier synthesis
• X-ray computed tomography
• Diffraction tomography
• Non linear inverse scattering
• Shape reconstruction.
• Non Destuctif Testing (NDT)
• Eddy current tomography

Demos Matlab codes:

Deconvolution:

A teaching demonstration of simple and classical regularization methods for impulse response identification and deconvolution. Get the Matlab pcode and run it:
[ Matlab 7 : decmalp1.p [ Matlab 6.5 : decmalp1.p

Tomo1:

A teaching demonstration of an X ray computed tomography from only two projections. Get the Matlab pcode and run it.
[ Matlab 7 : Tomo1.tar.gz or Tomo1.zip [ Matlab 6.5 : Tomo1.tar.gz or Tomo1.zip

Tomo2:

A teaching demonstration of an X ray computed tomography from any number of paralel projections. Get the Matlab pcode and run it.
[ Matlab 7 : Tomo2.tar.gz or Tomo2.zip [ Matlab 6.5 : Tomo2.tar.gz or Tomo2.zip

Tomo4:

A teaching demonstration of an X ray computed tomography from any number of paralel or conic projections. Get the Matlab pcode and run it.
[ Matlab 7 : Tomo4.tar.gz or Tomo4.zip [ Matlab 6.5 : Tomo4.tar.gz or Tomo4.zip

Inverse problems |Source separation |Data fusion |Image restoration |Deconvolution |Fourier synthesis |Computed tomography |Diffraction tomography |Non linear inverse problems |Shape reconstruction |Non Destuctif Testing

Last revised:  January 05, 2007