The Experts below are selected from a list of 312 Experts worldwide ranked by ideXlab platform
Robert Wang - One of the best experts on this subject based on the ideXlab platform.
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Acceleration of synthetic aperture radar imaging via subaperture chirp-scaling approach based on heterogeneous graphics-Processing-Unit–central-Processing-Unit architecture
Journal of Applied Remote Sensing, 2015Co-Authors: Yabo Liu, Yunkai Deng, Robert WangAbstract:For large-scale synthetic aperture radar (SAR) data, it is difficult to achieve SAR imagery in a timely manner using traditional imaging algorithms. Subaperture architecture is introduced to a chirp-scaling algorithm to process large-scale SAR data. By means of the subaperture partition, the real data can be processed in parallel based on heterogeneous graphics Processing Unit–central Processing Unit architecture. The principle of subaperture partition is not only discussed, but also the closed form of the overlap rate for a subaperture combination under the mode is first theoretically presented, which provides a foundation for airborne real-time data Processing. Finally, simulation and real data experiments validate the proposed approach.
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acceleration of synthetic aperture radar imaging via subaperture chirp scaling approach based on heterogeneous graphics Processing Unit central Processing Unit architecture
Journal of Applied Remote Sensing, 2015Co-Authors: Hongyu Li, Yunkai Deng, Zheng Wu, Robert WangAbstract:For large-scale synthetic aperture radar (SAR) data, it is difficult to achieve SAR imagery in a timely manner using traditional imaging algorithms. Subaperture architecture is introduced to a chirp-scaling algorithm to process large-scale SAR data. By means of the subaperture partition, the real data can be processed in parallel based on heterogeneous graphics Processing Unit–central Processing Unit architecture. The principle of subaperture partition is not only discussed, but also the closed form of the overlap rate for a subaperture combination under the mode is first theoretically presented, which provides a foundation for airborne real-time data Processing. Finally, simulation and real data experiments validate the proposed approach.
Tomoyoshi Ito - One of the best experts on this subject based on the ideXlab platform.
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fast high resolution computer generated hologram computation using multiple graphics Processing Unit cluster system
Applied Optics, 2012Co-Authors: Naoki Takada, Atsushi Shiraki, Nobuyuki Masuda, Tomoyoshi Shimobaba, Hirotaka Nakayama, Naohisa Okada, Minoru Oikawa, Tomoyoshi ItoAbstract:To overcome the computational complexity of a computer-generated hologram (CGH), we implement an optimized CGH computation in our multi-graphics Processing Unit cluster system. Our system can calculate a CGH of 6,400×3,072 pixels from a three-dimensional (3D) object composed of 2,048 points in 55 ms. Furthermore, in the case of a 3D object composed of 4096 points, our system is 553 times faster than a conventional central Processing Unit (using eight threads).
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Simplified electroholographic color reconstruction system using graphics Processing Unit and liquid crystal display projector.
Optics express, 2009Co-Authors: Atsushi Shiraki, Naoki Takada, Yasuyuki Ichihashi, Nobuyuki Masuda, Masashi Niwa, Tomoyoshi Shimobaba, Tomoyoshi ItoAbstract:We have constructed a simple color electroholography system that has excellent cost performance. It uses a graphics Processing Unit (GPU) and a liquid crystal display (LCD) projector. The structure of the GPU is suitable for calculating computer-generated holograms (CGHs). The calculation speed of the GPU is approximately 1,500 times faster than that of a central Processing Unit. The LCD projector is an inexpensive, high-performance device for displaying CGHs. It has high-definition LCD panels for red, green and blue. Thus, it can be easily used for color electroholography. For a three-dimensional object consisting of 1,000 points, our system succeeded in real-time color holographic reconstruction at rate of 30 frames per second.
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Real-time digital holographic microscopy using the graphic Processing Unit
Optics Express, 2008Co-Authors: Tomoyoshi Shimobaba, Yoshikuni Sato, Junya Miura, Mai Takenouchi, Tomoyoshi ItoAbstract:Digital holographic microscopy (DHM) is a well-known powerful method allowing both the amplitude and phase of a specimen to be simultaneously observed. In order to obtain a reconstructed image from a hologram, numerous calculations for the Fresnel diffraction are required. The Fresnel diffraction can be accelerated by the FFT (Fast Fourier Transform) algorithm. However, real-time reconstruction from a hologram is difficult even if we use a recent central Processing Unit (CPU) to calculate the Fresnel diffraction by the FFT algorithm. In this paper, we describe a real-time DHM system using a graphic Processing Unit (GPU) with many stream processors, which allows use as a highly parallel processor. The computational speed of the Fresnel diffraction using the GPU is faster than that of recent CPUs. The real-time DHM system can obtain reconstructed images from holograms whose size is 512 x 512 grids in 24 frames per second.
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computer generated holography using a graphics Processing Unit
Optics Express, 2006Co-Authors: Nobuyuki Masuda, Atsushi Shiraki, Tomoyoshi Ito, Takashi Tanaka, Takashige SugieAbstract:We have applied the graphics Processing Unit (GPU) to computer generated holograms (CGH) to overcome the high computational cost of CGH and have compared the speed of a GPU implementation to a standard CPU implementation. The calculation speed of a GPU (GeForce 6600, nVIDIA) was found to be about 47 times faster than that of a personal computer with a Pentium 4 processor. Our system can realize real-time reconstruction of a 64-point 3-D object at video rate using a liquid-crystal display of resolution 800×600.
Byeong-seok Shin - One of the best experts on this subject based on the ideXlab platform.
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ICEC - Programmable vertex Processing Unit for mobile game development
Lecture Notes in Computer Science, 2006Co-Authors: Kyoungsu Oh, Byeong-seok ShinAbstract:Programmable vertex Processing Unit increases flexibility and enables customizations of transformation and lighting in the graphics pipeline. Because most embedded systems such as mobile phones and PDA's have only the fixed-function pipeline, various special effects essential in development of realistic 3D games are not provided. We designed and implemented a programmable vertex Processing Unit for mobile devices based on the OpenGL ES 2.0 specification. It can be used as a development platform for 3D mobile games. Also, assembly instruction set and encoding scheme are examples of standard interface to high-level shading languages.
Christoph Leussler - One of the best experts on this subject based on the ideXlab platform.
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magnetic resonance examination apparatus with wireless transmission of spin resonance signals from high frequency coil system Processing Unit
Magnetic Resonance Imaging, 1994Co-Authors: Christoph LeusslerAbstract:A magnetic resonance examination apparatus includes a coil system (10) for receiving spin resonance signals generated in an examination zone, and a Processing Unit remote from the examination zone for Processing the signals received in the coil system. Disturbing effects are liable to occur when a coil system is connected to the Processing Unit via a cable. These disturbing effects are avoided in that in the direct vicinity of the coil system there is arranged a transmitter for transmitting the spin resonance signals. This transmitter cooperates in a wireless fashion with a receiver to which the Processing Unit is connected.
Yunkai Deng - One of the best experts on this subject based on the ideXlab platform.
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Acceleration of synthetic aperture radar imaging via subaperture chirp-scaling approach based on heterogeneous graphics-Processing-Unit–central-Processing-Unit architecture
Journal of Applied Remote Sensing, 2015Co-Authors: Yabo Liu, Yunkai Deng, Robert WangAbstract:For large-scale synthetic aperture radar (SAR) data, it is difficult to achieve SAR imagery in a timely manner using traditional imaging algorithms. Subaperture architecture is introduced to a chirp-scaling algorithm to process large-scale SAR data. By means of the subaperture partition, the real data can be processed in parallel based on heterogeneous graphics Processing Unit–central Processing Unit architecture. The principle of subaperture partition is not only discussed, but also the closed form of the overlap rate for a subaperture combination under the mode is first theoretically presented, which provides a foundation for airborne real-time data Processing. Finally, simulation and real data experiments validate the proposed approach.
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acceleration of synthetic aperture radar imaging via subaperture chirp scaling approach based on heterogeneous graphics Processing Unit central Processing Unit architecture
Journal of Applied Remote Sensing, 2015Co-Authors: Hongyu Li, Yunkai Deng, Zheng Wu, Robert WangAbstract:For large-scale synthetic aperture radar (SAR) data, it is difficult to achieve SAR imagery in a timely manner using traditional imaging algorithms. Subaperture architecture is introduced to a chirp-scaling algorithm to process large-scale SAR data. By means of the subaperture partition, the real data can be processed in parallel based on heterogeneous graphics Processing Unit–central Processing Unit architecture. The principle of subaperture partition is not only discussed, but also the closed form of the overlap rate for a subaperture combination under the mode is first theoretically presented, which provides a foundation for airborne real-time data Processing. Finally, simulation and real data experiments validate the proposed approach.
