Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 11 of 11 for “"Blind deconvolution"”.
-
Multichannel blind deconvolution in underwater acoustic channels
… new techniques for solving the multichannel blind deconvolution problem and implemented these techniques in acoustic waveguide multiple environment. We developed a systematic way to build an efficient and accurate channel models incorporating a priori information about the expected Channel …
-
Cramer-Rao bound analysis of multi-frame blind deconvolution
… and multiple frames affect multi-frame blind deconvolution. Previous research in non-blind deconvolution, which seeks to estimate an object from a blurred and noisy image, characterized how the use of support constraints exploited spatial noise correlations to reduce noise in the …
-
A unified framework for identifiability analysis in bilinear inverse problems
… determined up to the transformation group. Blind gain and phase calibration (BGPC) is a structured bilinear inverse problem, which arises in many applications, including inverse rendering in computational relighting (albedo estimation with unknown lighting), blind phase and gain calibration …
-
Estimation theoretical image restoration
… found that, without constraint enforcement, this blind deconvolution algorithm tended to converge to the trivial solution: delta function as the estimated psf and the detected image as the estimated object. We were able to avoid this solution set by enforcing a priori knowledge about the …
-
Facial image restoration and retrieval through orthogonality
… recognition approaches. However, most existing blind deconvolution methods cannot generate satisfactory results, due to their dependence on strong edges which are sufficient in natural images but not in facial images. A novel method is proposed in this report. Point spread functions (PSF) are …
-
Generation of high resolution tomographic images for NDT applications
… data will be filtered using Maximum Likelihood Deconvolution (MLD). The aim of this blind deconvolution method is to improve the time resolution and Signal to Noise Ratio of the A-scan data with only knowledge obtained from the data, this is in contrast to the majority of techniques currently …
-
Computational Advancements for Solving Large-scale Inverse Problems
… inversions. For the nonlinear systems, blind deconvolution methods are developed and prior knowledge of nonlinear parameters are used to reduce the dimension of the nonlinear systems. Simulated and real-data experiments of the respirometry problems are provided. This dissertation …
-
Bilinear inverse problems with sparsity: Optimal identifiability conditions and efficient recovery
… for BIPs. We consider two types of BIPs, blind deconvolution (BD) and blind gain and phase calibration (BGPC), with subspace or sparsity structures. Our contributions are twofold: we derive optimal identifiability conditions, and propose efficient algorithms that solve these problems. In …
-
Estimation of glottal source features from the spectral envelope of the acoustic speech signal
… acoustic speech signal becomes an ill-defined blind deconvolution problem. Nevertheless, because of the desire to understand glottal behavior and how it relates to perceived voice quality, there has been continued interest in explicitly estimating the glottal component of the speech signal. To …
-
Ambiguities in range-based system identification
Blind linear system identification (or recovery) arises in several applications in engineering (e.g. channel equalization, super-resolution, MRI and SAR image formation). This is a special case of a bi-linear inverse problem, and is sometimes equivalent to range-based operator recovery. The aim of …