Back-Projection
Inverse Problem: Comparison between Linear Back-Projection Algorithm and Filtered Back-Projection Algorithm in Soft-Field Tomography
... The back-projection algorithm is the most popular algorithm applied in process tomography including a linear back-projection (LBP) algorithm and a filtered back-projection (FBP) ...
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Mitigating artifacts in back projection source imaging with implications for frequency dependent properties of the Tohoku Oki earthquake
... performing back-projection at in- termediate ...the back- projection at low frequencies around ...the back-projection ...
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Rupture process of the 2011 off the Pacific coast of Tohoku Earthquake (Mw 9 0) as imaged with back projection of teleseismic P waves
... curred offshore of the east coast of Honshu, Japan and caused a devastating tsunami with considerable loss of life and property. The sequence started with a M 7 . 2 earthquake east of Miyagi Prefecture on March 9 at ...
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Rupture process of the 2007 Notohanto earthquake by using an isochrones back projection method and K NET/KiK net data
... Standard methodologies for calculation of the earth- quakes source process are based on inversion procedures which require the calculation of complete source-stations Greens functions (i.e. Hartzell and Heaton, 1983; ...
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Design and modeling of linear back projection (LBP) algorithm for field programmable gate array (FPGA)
... This paper focus on designing and modeling of Linear Back Projection (LBP) algorithm for Field Programmable Gate Array (FPGA) application. The features provided in FPGA make it the most suitable embedded ...
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Single Image Super Resolution Using a Deep Encoder Decoder Symmetrical Network with Iterative Back Projection
... losing high frequency details or reducing the image quality. Recently, image SR based on convolutional neural network (SRCNN) was proposed and has received much attention due to its end-to-end mapping simplicity and ...
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Rapid mapping of visual receptive fields by filtered back projection: application to multi-neuronal electrophysiology and imaging
... Abstract Neurons in the visual system vary widely in the spatiotemporal properties of their receptive fields (RFs), and understanding these variations is key to elucidating how visual information is processed. We present ...
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Volumetric Calibration Refinement using masked back projection and image correlation superposition
... In order to judge about the quality of this refinement method under more realistic conditions, a complete experiment with optical transfer functions including noise and lens distortion is simulated. In the first step, ...
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Navigating Earthquake Physics with High-Resolution Array Back-Projection
... MUSIC back-projection results, the domi- nant distribution of the seismic radiation in the down-dip region is clear in all frequency bands at both arrays, except in the 8~16 s band which shows linear ...
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Rupture process of the largest aftershock of the M 9 Tohoku oki earthquake obtained from a back projection approach using the MeSO net data
... of strong ground motions at 249 stations installed in and around the Tokyo Metropolitan Area are automatically transmitted to the operation center in the Earthquake Re- search Institute (ERI) in real time. The extent of ...
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Filtered Back Projection Algorithm on Computed Tomography (Ct) Scan
... filtered-back projection algorithm on computed tomography (CT) projection data of a Shepp-Logan head phantom to reconstruct ...Filtered back projection algorithm has been used to ...
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The Object’s Reconstruction of CT Detection Based on Filtered Back Projection Algorithm
... the projection reduction of the CT system, we found that using the normal anti-projection method may obtained large error, the image is Blurred, it is far away from the true ...normal back ...
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Iterative Reconstruction in Head CT: Image Quality of Routine and Low Dose Protocols in Comparison with Standard Filtered Back Projection
... measured projection data, a ray-tracing in the image is performed to calculate new projections that exactly repre- sent the reconstructed image, as if the reconstructed image had been the measurement object of a ...
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Feasibility of three-dimensional density tomography using dozens of muon radiographies and filtered back projection for volcanos
... In this study, we propose the application of a 3-D den- sity reconstruction analysis method using filtered back pro- jection (FBP), which does not require prior information. In the FBP method, it is possible to ...
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Map Projection Article on Wikipedia
... First, how one can unfold or unroll a plane into a plane? What does developing a plane in the plane mean? Development is isometry, so from the cartographic point of view, nothing would change, and we do not need a plane ...
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Kernel Affine Projection Algorithms
... stochastic projection, the space spanned by ϕ(u) is so large that the projection error of the desired signal could be very small [31], as is well known from Cover’s theorem ...
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Transferable Neural Projection Representations
... It is interesting to note that the vanilla skip- gram model does well on WS353-SIM compared to WS353-REL. This behavior is reversed in our NP-SG model, which indicates that it captures meronym-holonym relationships ...
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The Mechanism of Projection of the Chameleon's Tongue
... 5 Retraction is effected by the simultaneous contraction of the hyoglossi and the sternohyoids; the former draw the tongue knob back on to the processus, and the latter return the hyoid [r] ...
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Projection Methods and the Curse of Dimensionality
... three projection methods and their ability to solve dynamic stochastic general equilibrium models that are characterized by a high dimension of the state ...Galerkin projection is shown to work remarkably ...
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Stock Flow Dynamic Projection
... Another observation from these two tables is that, for number of bins N = 13, the highest p-value is 0.185 > 0.10 for aggregate equity, while the highest p- value is 0.085 > 0.05 for aggregate profit. It shows no ...
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