Pradeep Ragothaman, Ph.D.
Affiliations: | 2007 | University of Central Florida, Orlando, FL, United States |
Area:
Electronics and Electrical Engineering, Computer ScienceGoogle:
"Pradeep Ragothaman"Parents
Sign in to add mentorWasfy B. Mikhael | grad student | 2007 | University of Central Florida | |
(Efficient algorithms for correlation pattern recognition.) |
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Publications
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Ragothaman P, Mahalanobis A, Muise R, et al. (2008) A performance comparison of the transform domain rayleigh quotient quadratic correlation filter (TDRQQCF) approach to the regularized RQQCF Proceedings of Spie - the International Society For Optical Engineering. 6967 |
Ragothaman P, Mikhael WB, Muise RR, et al. (2007) Automatic target recognition employing signal compression. Applied Optics. 46: 4702-11 |
Mikhaef WB, Ragothaman P, Muise R, et al. (2007) An efficient quadratic correlation filter for automatic target recognition Proceedings of Spie - the International Society For Optical Engineering. 6566 |
Mikhael WB, Ragothaman P, Abdelwahab MM. (2007) Nontraditional signal processing techniques employing linear transforms Midwest Symposium On Circuits and Systems. 1540-1541 |
Ragothaman P, Mikhael WB, Muise R, et al. (2006) Adaptive determination of Eigenvalues and Eigenvectors from perturbed autocorrelation matrices for automatic target recognition Proceedings of Spie - the International Society For Optical Engineering. 6234 |
Ragothaman P, Yang T, Mikhael WB, et al. (2006) Efficient adaptive subspace tracking algorithm for automatic target recognition Electronics Letters. 42: 1183-1184 |
Mikhael WB, Ragothaman P. (2005) An efficient image representation technique using vector quantization in multiple transform domains Circuits, Systems, and Signal Processing. 24: 19-33 |
Ragothaman P, Mikhael WB. (2004) Multiple non-orthogonal bases representations for images Conference Record - Asilomar Conference On Signals, Systems and Computers. 2: 1545-1548 |
Mikhael WB, Ragothaman P. (2003) Adaptive vector quantisation of non-orthogonal representations for image compression Electronics Letters. 39: 200-201 |