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检索条件"主题词=Reconstruction Algorithm"

共 1040 条记录，以下是121-130 订阅

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Performance comparison of reconstruction algorithm based on non-uniform sampling system

Performance comparison of reconstruction algorithm based on ...

引用

Signal, Information and Data Processing (ICSIDP), IEEE International Conference on

作者： Hanxi Zhao Hebin Pan Jian Shen Zhijun Zhang Meijing Jiao Fen Li Shanghai Radio Equipment Research Institute Shanghai China The Sixth Military Representative Office of the CPLA Naval in Shanghai Address Shanghai China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

For sparse ultra-wideband signals in frequency domain, the non-uniform adoption system is used to sample the signals at different rates. OMP algorithm, LASSO algorithm and BCS algorithm are used to recover the non-uniformly sampled signal. According to the analysis and comparison of the simulation results, the following conclusions are drawn: BSC algorithm has little change in time-consuming and robustness with the increase of the number of observations, and has better reconstruction performance when the number of observations is low and the noise is included.

关键词： Non-uniform sampling Ultra-wideband signal Compressed sensing Signal reconstruction Signal reconstruction Compressed sensing reconstruction algorithm broadband signal uniform sampling sampling system algorithms signals sampled signal Frequency-domain analysis

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Successful Suppression of Cone Beam Artifacts Using Iterative reconstruction algorithm

Successful Suppression of Cone Beam Artifacts Using Iterativ...

引用

IEEE Nuclear Science Symposium

作者： Daxin Shi Toshiba Medical Research Institute of USA Inc.

ISBN: (纸本)9781479960989

Cone beam artifacts are commonly observed in volumetric CT images reconstructed by use of filtered backprojection method such as Feldkamp algorithm when the cone angle is relatively large and bony structures are present, for example in the head imaging task. In this work, we try to answer the question "Is it possible to suppress cone beam artifacts using iterative reconstruction algorithms in circular volumetric CT?" Our answer to this question is "YES". We support our conclusion by use of clinical head dataset to avoid any possible excuses in simulated data. A set of 320-slice clinical head-data were acquired from Aquilion ONE CT scanner (Toshiba American Medical Systems, Tustin, CA, USA) for our test. We intentionally extracted central 256-slice data to synthesize an "easy dataset" and treated the original 320-slice data as a "hard dataset" due to different cone angles these datasets subtended. We demonstrate in this paper that cone beam artifacts in volumetric head CT images reconstructed from both "easy dataset" and "hard dataset" are successfully suppressed using iterative reconstruction algorithm.

关键词： reconstruction algorithm cone beam Dataset Cone-Beam Computed Tomography Artifacts cone angle Iterative filtered backprojection Answer

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A Novel Visible Light Communication Channel Compensation and reconstruction algorithm for Linear Decomposed CPM Signals

A Novel Visible Light Communication Channel Compensation and...

引用

IEEE Vehicular Technology Conference

作者： Xu Wen Jie Zhong Peiyao Xuan Gaojie Chen Minjian Zhao College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 China Department of Engineering University of Leicester Leicester LE1 7RH UK

ISBN: (纸本)9781538663592;9781538663585

In this paper, we demonstrate a visible light communication (VLC) system using continuous phase modulation (CPM) and prove its advantage in energy efficiency over orthogonal frequency-division multiplexing (OFDM) scheme. Furthermore, to ensure the feasibility of broadband communications in indoor optical multipath environments, we propose algorithms including linear decomposition-based channel compensation to combat the inter-symbol-interference (ISI) and correlation matrix-based highly power-efficient CPM signal reconstruction to recover the original CPM signal without multipath effects. Additionally, in the signal reconstruction algorithm, a condition-enhanced method is proposed to solve the condition number problem of correlation matrix. The algorithms are verified and evaluated in terms of the normalized mean squared error (NMSE) simulation and bit error rate (BER) experiments. The power efficiency, the fading compensation character promote the proposed CPM transceiver to be a practical VLC candidate.

关键词： continuous phase modulation correlation methods energy conservation error statistics free-space optical communication intersymbol interference matrix algebra mean square error methods OFDM modulation optical modulation optical transceivers signal reconstr Mean square error continuous phase modulation Orthogonal frequency division multiplexing optical transceiver free-space optical communication correlation methods intersymbolic interference Optical modulation matrix algebra Critical path method reconstruction algorithm Energy conservation condition number Error analysis

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Evaluation of a Nonlinear Simultaneous Compressibility and Mass Density reconstruction algorithm in Contrast to Established Linear Ultrasound Imaging Approaches

Evaluation of a Nonlinear Simultaneous Compressibility and M...

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IEEE International Ultrasonics Symposium

作者： Markus C. Hesse Georg Schmitz Institute of Medical Engineering Ruhr-University Bochum

ISBN: (纸本)9781467356855

While established linear pulse-echo ultrasound imaging concepts like synthetic aperture (SA) focusing and delay-and-sum (DAS) beamforming solely image tissue features under single scattering, nonlinear reconstruction methods have been proposed to compute quantitative maps of the tissue's material parameters (e.g. compressibility, mass density, speed of sound) under multiple scattering. In the present contribution, we apply a previously proposed nonlinear simultaneous compressibility and mass density reconstruction algorithm and investigate numerically the image reconstruction quality in contrast to linear SA under cylindrical wave (cw) excitation and linear DAS under plane wave (pw) excitation. Using raw data acquired from a Shepp-Logan phantom (SLP) with typical soft tissue compressibility and mass density values, nonlinear reconstruction using cylindrical wave excitation provides high-resolution images with a mean magnitude of relative error of about 4.27% and 3.18% within a region of interest (ROI) in the compressibility and mass density image, outperforming the image quality reached under plane wave excitation. Applying identical raw data, SA and DAS with both predefined and adapted apodization weights yield less-detailed image reconstructions solely showing tissue boundaries. Furthermore, calculating full width at half maximum (FWHM) resolutions of all methods, the nonlinear approach mainly yields smaller axial and lateral resolutions in contrast to SA and DAS.

关键词： MASS DENSITY WAVE INTERFERENCE Compressibility amsonic acid defensive aids suite image reconstruction reconstruction algorithm nonlinearity LATERAL RESOLUTION relative errors

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Study on the weld pool 3D surface reconstruction algorithm

Study on the weld pool 3D surface reconstruction algorithm

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International Conference on Intelligent Transportation, Big Data and Smart City

作者： Zhen-Hai Mu Rui Huang Guilin University of Aerospace Technology

ISBN: (纸本)9781509004652

In the present study, based on the analyses of weld pool image processing algorithms, the feasibility of three-dimensional visualization of weld pool using three-dimensional surface reconstruction algorithm was demonstrated. The detailed research scheme, method and technical route were elaborated in this article, and finally the experiments were carried out to verify the feasibility.

关键词： reconstruction algorithm Weld pool image Three-dimensional visualization Virtual reality

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Cluster-Based Approach to a Multi-GPU CT reconstruction algorithm

Cluster-Based Approach to a Multi-GPU CT Reconstruction Algo...

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IEEE Nuclear Science Symposium

作者： Laurel J. Orr Edward S. Jimenez Kyle R. Thompson Sandia National Laboratories Software Systems R&D Sandia National Laboratories Structural Dynamics & X-Ray Non-Destructive Evaluation

ISBN: (纸本)9781479960989

Conventional CPU-based algorithms for Computed Tomography reconstruction lack the computational efficiency necessary to process large, industrial datasets in a reasonable amount of time. Specifically, processing time for a single-pass, trillion volumetric pixel (voxel) reconstruction requires months to reconstruct using a high performance CPU-based workstation. An optimized, single workstation multi-GPU approach has shown performance increases by 2-3 orders-of-magnitude;however, reconstruction of future-size, trillion voxel datasets can still take an entire day to complete. This paper details an approach that further decreases runtime and allows for more diverse workstation environments by using a cluster of GPU-capable workstations. Due to the irregularity of the reconstruction tasks throughout the volume, using a cluster of multi-GPU nodes requires inventive topological structuring and data partitioning to avoid network bottlenecks and achieve optimal GPU utilization. This paper covers the cluster layout and non-linear weighting scheme used in this high-performance multi-GPU CT reconstruction algorithm and presents experimental results from reconstructing two large-scale datasets to evaluate this approach's performance and applicability to future-size datasets. Specifically, our approach yields up to a 20 percent improvement for large-scale data.

关键词： Workstations reconstruction algorithm Dataset pixel Reconstructive Surgical Procedures Computational efficiency X-Ray Computed Tomography Runtime

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Investigation of the Radiation Dose in Computed Micro Tomography Using the Medipix3 Semiconductor Detector in Combination with an Iterative reconstruction algorithm

Investigation of the Radiation Dose in Computed Micro Tomogr...

引用

IEEE Nuclear Science Symposium

作者： F. Fischer S. Procz A. Fauler M. Fiederle Freiburg Materials Research Center Albert-Ludwigs-University Stefan-Meier-Strasse 21 79104 Germany

ISBN: (纸本)9781479960989

Due to the acquisition of up to two thousand projections, the radiation dose during computed tomography scans is severely higher, compared to planar radiographic imaging. Especially in medical diagnostics the minimization of the radiation dose a patient is exposed to, is of fundamental interest to reduce the appearance of radiation-induced damage. The use of photon-counting semiconductor detectors, like the Medipix3, in combination with iterative reconstruction algorithms, provides a possibility to achieve this objective. Therefore, measurements on phantoms are performed to determine the minimum amount of projections needed for the iterative reconstruction to work without the loss of spatial resolution and image contrast. We will show that it is possible to reduce the radiation dose necessary for computed tomography (CT) scans which will be a significant time saver and lower the cost of CT concerning material analysis. Regarding medical diagnostics, the reduction of the radiation dose can lead to a diminishing in the appearance of radiation-induced damages.

关键词： Radiation Dosage reconstruction algorithm Semiconductor detectors X-Ray Computed Tomography MICROTOMOGRAPHY Iterative radiation-induced

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Acoustic Temperature Field reconstruction algorithm Based on Regularized Exponential Approach

Acoustic Temperature Field Reconstruction Algorithm Based on...

引用

第七届国际粉体检测与控制学术会议

作者： Yan Hua Li Zhilan Chen Guannan School of Information Seienee and Engineering Shenyang University of Technology,110023,China

The basic theory of the measurement of gas temperature by acoustic method is introduced.A new acoustic tem- perature field reconstruction algorithm based on regularized exponential approach is *** expand the slowness function over a finite set of exponential series,and then acquire a stable solution by using suitable regularization method. The reconstruction algorithm based on regularized Fourier technique is also given in this paper for comparison research. Simulation experiments were carried out under different teraperature field *** results indicate that when the number of the acoustic sound sources/receivers is 8,the new algorithm has a higher accuracy in comparison with that of the algorithm based on regularized Fourier technique.

关键词： reconstruction algorithm Temperature field Acoustic pyrometry

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A Fast Mapping Method in the ISAF reconstruction algorithm

A Fast Mapping Method in the ISAF Reconstruction Algorithm

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Gongming Wang Fa Zhang Qi Chu Fei Sun Zhiyong Liu Institute of Computing Technology CAS Institute of Biophysics CAS

ISBN: (纸本)9781424441211

ISAF (icosahedral symmetry-adapted functions) algorithm is the new high-resolution algorithm of icosahedral molecules. But its running speed is very slow because of the time-consuming operations of mapping sampling points into 3D space. In this paper, a fast mapping method is proposed to increase the running speed of this stage. First of all, the angle corresponding to one pixel arc in the maximum Fourier ring was taken as the sampling angle and the same angle sampling was applied in every rings. After that, the sampling points in ring R=1 were mapped into 3D space. Finally, the 3D spatial positions of radial sampling points in other rings were deduced according to the rotate angle invariability of radial sampling points. The simulated data of PSV-F (Penicillium stoloniferum virus F) and experimental Cryo-EM data of CPV (cytoplasmic polyhedrosis virus) were used for validating this method. The results show that the whole speedup reaches to an order of magnitude at the premise of assuring accuracy. In addition, the speedup is increasing with the increase of the maximum Fourier radius and the number of projections.

关键词： Operating speed simulated data reconstruction algorithm Ring device PREMISES MAPPING(MATHEMATICAL) Speeding Icosahedron Sample point Cytoplasmic Polyhedrosis Viruses

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An iterative reconstruction algorithm for amplitude sampling

An iterative reconstruction algorithm for amplitude sampling

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Hsin-Yu Lai Pablo Martinez-Nuevo Alan V. Oppenheim Digital Signal Processing Group Dept. Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge 02139 USA

ISBN: (纸本)9781509041183

Traditional data acquisition systems rely on sampling of bandlimited signals at uniformly spaced time instants with high-precision amplitude representation. Amplitude sampling, as previously introduced by the authors, is based on uniform amplitude sampling with high precision timing information. This paper presents an iterative algorithm for signal recovery from amplitude samples and compares the results with the use of iterative recovery from the nonuniform time samples implied by the amplitude sampling process. The iterative amplitude sampling reconstruction algorithm (IASR) proposed and evaluated in this paper is based on the interpretation of amplitude sampling as uniform sampling of an associated function obtained from a reversible transformation of the bandlimited input signal. The IASR algorithm exploits uniform sampling and the frequency- and time-domain properties of the amplitude-time function. The IASR algorithm is compared with the use of iterative nonuniform sampling reconstruction as proposed by Voroni. While in numerical simulations the Voronoi algorithm converges to marginally better reconstruction than IASR, the convergence rate of IASR is significantly better.

关键词： Nonuniform sampling and reconstruction iterative algorithms level-crossing sampling Iterative algorithms reconstruction algorithm uniform sampling Signal restoration Amplitude LEVEL CROSSING Iterative reversible transducer DATA ACQUISITION SYSTEMS bandlimited signals

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