Transient wave estimation: A multichannel deconvolution application
نویسندگان
چکیده
The evolution of new concepts inwave theory have led to proof-in-principle experiments aimed at validating the generation of a specified wave front. Not only have these concepts initiated research in transient wave theory, but they have also caused renewed effort in multichannel signal processing. In this paper, the development ofa processor todeconvolve a transient acoustic wave from sensor array measurements is discussed. The design of the multichannel deconvolver coupled with model-based signal processing techniques u ing acoustic pressure field measurements is discussed. Here, it is shown that an efficient solution to this problem can be obtained using a vector form of the Levinson-Wiggins-Robinson (LWR) algorithm.
منابع مشابه
Multichannel Blind Deconvolution of Seismic Signals
A new algorithm for simultaneous wavelet estimation and deconvolution of seismic reflection signals is given. To remove the inherent ambiguity in this blind deconvolution problem, we introduce relevant a priori information. Our major assumption is sparseness of the reflectivity, which corresponds to a layered earth model. This allows non-minimum phase wavelets to be recovered reliably and close...
متن کاملMultichannel Blind Deconvolution of the Short-Exposure Astronomical Images
In this paper we present a new multichannel blind deconvolution method based on so-called subspace technique that was originally proposed by Harikumar and Bresler. When at least two differently degraded images (channels) of the original scene are provided, the method is better conditioned than classical single channel ones. In comparison with earlier multichannel blind deconvolution techniques ...
متن کاملA new multichannel blind deconvolution method and its application to solar images
A new method of the multichannel blind deconvolution is introduced. The algorithm is simple, computationally efficient and does not need any statistical presumptions about the image. Any a priori knowledge about the PSF and the original can be incorporated very easily. The numerical simulations and experiments give promising results comparing to other restoration methods.
متن کاملPSO-Optimized Blind Image Deconvolution for Improved Detectability in Poor Visual Conditions
Abstract: Image restoration is a critical step in many vision applications. Due to the poor quality of Passive Millimeter Wave (PMMW) images, especially in marine and underwater environment, developing strong algorithms for the restoration of these images is of primary importance. In addition, little information about image degradation process, which is referred to as Point Spread Function (PSF...
متن کامل