Signal Recovery and Synthesis III最新文献_第3页

Statistical Methods for Image Restoration and Image Reconstruction 图像恢复和图像重建的统计方法

Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.wd1

Chin-Tu Chen, V. Johnson, W. H. Wong, Xiaoping Hub, C. Metz

引用次数: 0

Numerical Investigation of Phase Retrieval Uniqueness 相位检索惟一性的数值研究

Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.fa2

J. H. Seldin, J. Fienup

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引用次数: 1

Synthesis of a Holographic Beamformer Using a Separability Constraint 利用可分性约束合成全息波束形成器

Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.thc3

M. Eismann, A. Tai, J. Cederquist

引用次数: 0

Multiple Source Localization Via Redundancy Exploitation With Geometrically Redundant Planar Sensor Arrays 几何冗余平面传感器阵列冗余利用多源定位

Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.thb3

D. Stavrinides, M. Zoltowski

{"title":"Multiple Source Localization Via Redundancy Exploitation With Geometrically Redundant Planar Sensor Arrays","authors":"D. Stavrinides, M. Zoltowski","doi":"10.1364/srs.1989.thb3","DOIUrl":"https://doi.org/10.1364/srs.1989.thb3","url":null,"abstract":"A new scheme for estimating the respective radial directions of multiple radiating sources is introduced. The main contribution is the incorporation of a technique referred to as \"Pseudo Forward Backward averaging\" which judiciously exploits the inherent redundancy in a planar sensor array exhibiting the ESPRIT structure [2]. ESPRIT is a recently proposed bearing estimation algorithm that works with an array of M matched sensor pairs (2M sensors total) referred to as doublets, grouping one element of each doublet into an X array, and the other into a Y array. The displacement vector, denoted \u0000d→, between the two members of a given doublet is assumed to be the same for each doublet and the two members of each doublet are required to possess identical radiation patterns. ESPRIT allows us to estimate the angle between \u0000d→ and the unit normal to the i-th arriving wavefront, denoted by \u0000r^\u0000 i\u0000 , i.e., \u0000d→⋅r^\u0000 i\u0000 . In contrast to spatial spectrum estimation algorithms such as MUSIC and Maximum Entropy which require the plotting and searching of a multi-modal, two dimensional surface, the estimates obtained via ESPRIT are simply found by solving for the generalized eigenvalues of a judiciously formed data pencil. More specifically, we shall employ a refinement of ESPRIT, referred to as PRO-ESPRIT [1], the development of which was predicated on exploiting the inherent redundancy built into the ESPRIT array structure described above.","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114583697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantitative Comparisons of Choices of Prior Information in Image Reconstruction 图像重建中先验信息选择的定量比较

Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.wa3

T. A. Gooley, H. Barrett, M. Barth, J. Denny

引用次数: 0

Direct Phase Estimation from Phase Differences Using Fast Elliptic PDE Solvers 使用快速椭圆PDE求解器从相位差直接估计相位

Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.fc2

D. Ghiglia, L. Romero

引用次数: 0

Phase Retrieval Using Two Fourier Intensities 利用两个傅里叶强度进行相位恢复

Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.fb2

Wooshik Kim, M. Hayes

{"title":"Phase Retrieval Using Two Fourier Intensities","authors":"Wooshik Kim, M. Hayes","doi":"10.1364/srs.1989.fb2","DOIUrl":"https://doi.org/10.1364/srs.1989.fb2","url":null,"abstract":"The two-dimensional discrete phase-retrieval problem is concerned with the reconstruction of a signal, or image, x(m, n), from the magnitude (intensity) of its Fourier transform, |X(ω1,ω2)|- Phase retrieval is an important problem that arises in a variety of different applications including x-ray crystallography, astronomy, electron microscopy, optics, and signal processing [1-5]. There are three issues that need to be considered in the solution of the phase retrieval problem: the uniqueness of the solution, the development of phase retrieval algorithms that reconstruct a signal from its Fourier transform intensity and any á priori information that might be available, and the sensitivity of the reconstruction to computational noise and measurements errors. It is now well known that if a two-dimensional signal with finite support has a z-transform that is an irreducible polynomial then the signal is uniquely defined to within a trivial ambiguity by the intensity of its Fourier transform [6]. This result becomes important with the fact that it has been shown that “almost all” discrete two-dimensional signals with finite support have z-transforms that are irreducible [7]. In spite of this uniqueness of the solution, however, the reconstruction of a signal from its Fourier intensity remains a difficult problem.","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121799545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Local Criteria : A Unified Approach to Locally Adaptive Linear and Rank Filters 局部准则:一种局部自适应线性和秩滤波器的统一方法

Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.thb4

L. Yaroslavsky

引用次数: 3

Superresolution with an Opacity Constraint 具有不透明度约束的超分辨率

Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.pd1

R. Paxman

引用次数: 4

3-D Tomographic Image Reconstruction from Incomplete Cone Beam Projections 基于不完全锥束投影的三维层析图像重建

Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.fd2

H. Kudo, Tsuneo Saito

引用次数: 0