@conference {
	title = {Two-Dimensional Signal Deconvolution: Design Issues Related to a Novel Multisensor-based Approach},
	author = {Sidiropoulos, N D., Baras, John S., Berenstein, Carlos A.},
	year = {1991},
	month = {07/1991},
	abstract = {We employ recent results of analysis in several complex variables to come up with a set of compactly supported approximate deconvolution kernels for the reconstruction of a two dimensional signal based on multiple linearly degraded versions of the signal with a family of kernels that satisfy suitable technical conditions. We discuss the question of convergence of the proposed deconvolution kernels, present simulation results that demonstrate the gain in bandwidth, and propose two data parallel grid layouts for the off-line computation of the deconvolution kernels.},
	address = {San Diego, California},
	booktitle = {SPIE 1991 International Symposium on Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision},
	pages = {pp. 356-366}
}
@conference {
	title = {Two-Dimensional Signal Deconvolution Using Multiple Sensors},
	author = {Sidiropoulos, N D., Baras, John S., Berenstein, Carlos A.},
	year = {1991},
	month = {03/1991},
	abstract = {We consider the two dimensional Analytic Bezout Equation (ABE) and investigate the properties of a particular solution, based on certain conditions imposed on the convolution kernels. We propose the use of approximate deconvolution kernels, prove compactness of their support, and discuss various design problems pertaining to the question of convergence of the proposed deconvolution kernels. We point out the fact that these approximate deconvolution kernels exhibit a strong asymmetry in the FT domain, and propose solutions to this problem. Simulation results are presented in order to demonstrate the gain in bandwidth, the asymmetry of the FT of the overall system, and the effectiveness of the proposed solutions to compensate for this asymmetry.},
	address = {Baltimore, MD},
	booktitle = {The 1991 Conference on Information Sciences and Systems},
	pages = {pp. 594-599},
	organization = {Johns Hopkins University}
}
