2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)最新文献_第10页

Identification of kronecker-structured dictionaries: An asymptotic analysis 克罗内克结构字典的鉴定:一个渐近分析

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) Pub Date : 2017-12-01 DOI: 10.1109/CAMSAP.2017.8313163

Z. Shakeri, A. Sarwate, W. Bajwa

引用次数: 5

Boolean approximation of a phase-coded aperture diffraction pattern system for X-ray crystallography 用于x射线晶体学的相位编码孔径衍射图系统的布尔近似

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) Pub Date : 2017-12-01 DOI: 10.1109/CAMSAP.2017.8313144

Samuel Pinilla, Tatiana Gelvez, H. Arguello

{"title":"Boolean approximation of a phase-coded aperture diffraction pattern system for X-ray crystallography","authors":"Samuel Pinilla, Tatiana Gelvez, H. Arguello","doi":"10.1109/CAMSAP.2017.8313144","DOIUrl":"https://doi.org/10.1109/CAMSAP.2017.8313144","url":null,"abstract":"The phase retrieval problem involves recovering the phase of a signal from the amplitude of its Fourier transform. Recently, a phase recovery approach for a coded aperture-based acquisition system was proposed. The modulation is realized before the signal being diffracted, such that the underlying signal is recovered from coded diffraction patterns. Moreover, the modulation effect before diffraction can be obtained by using a phase coded aperture located after the sample under study. However, the practical implementation of a phase coded aperture in an X-ray application is not feasible, since it results in a matrix with complex entries and it requires changing the phase of the diffracted beams. Hence, this paper describes a coded X-ray diffraction pattern system based on block-unblock (Boolean) coded apertures that, unlike the phase coded apertures are easily implementable. The proposed system approximates the phase coded aperture by a block-unblock coded aperture by using the detour-phase method. This work used the SAXS/WAXS X-ray crystallography software to simulate the diffraction patterns of a real crystal structure called Rhombic Dodecahedron. Several simulations were realized to obtain the performance of some Boolean approximations in recovering the phase using the simulated diffraction pattern images. The quality of the reconstructions attain up to 22dB in terms of the Peak-Signal-to-Noise-Ratio.","PeriodicalId":315977,"journal":{"name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123425352","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

Unsupervised restoration of subsampled images constructed from geometric and binomial data 由几何和二项数据构造的次采样图像的无监督恢复

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) Pub Date : 2017-12-01 DOI: 10.1109/CAMSAP.2017.8313187

Y. Altmann, S. Mclaughlin, M. Padgett

引用次数: 5

A classify-while-track approach using dynamical tensors 一种利用动态张量的随轨分类方法

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) Pub Date : 2017-12-01 DOI: 10.1109/CAMSAP.2017.8313221

F. Govaers

引用次数: 1

Efficient sensor selection with application to time varying graphs 有效的传感器选择与应用于时变图形

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) Pub Date : 2017-12-01 DOI: 10.1109/CAMSAP.2017.8313073

Buddhika L. Samarakoon, M. Murthi, K. Premaratne

引用次数: 0

Coded aperture design for super-resolution compressive X-ray tomography 超分辨率压缩x射线断层成像的编码孔径设计

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) Pub Date : 2017-12-01 DOI: 10.1109/CAMSAP.2017.8313126

Edson Mojica, Said Pertuz, H. Arguello

{"title":"Coded aperture design for super-resolution compressive X-ray tomography","authors":"Edson Mojica, Said Pertuz, H. Arguello","doi":"10.1109/CAMSAP.2017.8313126","DOIUrl":"https://doi.org/10.1109/CAMSAP.2017.8313126","url":null,"abstract":"Computed tomography obtains the inner structure of an object. However, obtaining an accurate image reconstruction while keeping a low radiation dose is a challenging problem. For this purpose, compressed sensing has been studied to reduce the number of measurements required. In this work, we present an algorithm for the design of high-resolution coded apertures for compressed sensing computed tomography. The aim is to combine high-resolution apertures with low-resolution detectors in order to achieve super-resolution. To design the coded apertures, the proposed method iteratively improves random coded apertures using a gradient descending algorithm subject to constraints on the homogeneity induced by the coded aperture of the compressive sensing process. Computational experiments using synthetic data show a significant improvement in the quality of CT image reconstructions achieved with the designed coded apertures over the random coded apertures up to 3dB in terms of PSNR. Further simulations are performed with different transmittances and shots to assess the robustness of the proposed approach.","PeriodicalId":315977,"journal":{"name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114545596","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: 2

An ADMM approach to distributed coordinated beamforming in dynamic TDD networks 动态TDD网络中分布式协调波束形成的ADMM方法

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) Pub Date : 2017-12-01 DOI: 10.1109/CAMSAP.2017.8313195

Khaled Ardah, Y. Silva, W. Freitas, F. Cavalcanti, Gábor Fodor

引用次数: 4

Structure-Exploiting variational inference for recurrent switching linear dynamical systems 循环开关线性动力系统的结构利用变分推理

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) Pub Date : 2017-12-01 DOI: 10.1109/CAMSAP.2017.8313132

Scott W. Linderman, Matthew J. Johnson

引用次数: 7

Rapid system identification for jump Markov non-linear systems 跃变马尔可夫非线性系统的快速辨识

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) Pub Date : 2017-12-01 DOI: 10.1109/CAMSAP.2017.8313089

A. R. Braga, C. Fritsche, F. Gustafsson, Marcelo G. S. Bruno

引用次数: 4

Performance analysis of ESPRIT-Type algorithms for co-array structures 面向共阵结构的esprit型算法性能分析

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) Pub Date : 2017-12-01 DOI: 10.1109/CAMSAP.2017.8313207

Jens Steinwandt, F. Roemer, M. Haardt

引用次数: 5