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A-E equation of potential field transformations in the wavenumber domain and its application 被引量:7
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作者 Chai Yupu 《Applied Geophysics》 SCIE CSCD 2009年第3期205-216,299,共13页
A shift sampling theory established by author (1997a) is a generalization of Fourier transform computation theory. Based on this theory, I develop an Algorithm-Error (A-E) equation of potential field transformatio... A shift sampling theory established by author (1997a) is a generalization of Fourier transform computation theory. Based on this theory, I develop an Algorithm-Error (A-E) equation of potential field transformations in the wavenumber domain, which not only gives a more flexible algorithm of potential field transformations, but also reveals the law of error of potential field transformations in the wavenumber domain. The DFT0η η(0.5, 0.5) reduction-to-pole (RTP) technique derived from the A-E equation significantly improves the resolution and accuracy of RTP anomalies at low magnetic latitudes, including the magnetic equator. The law (origin, form mechanism, and essential properties) of the edge oscillation revealed by the A-E equation points out theoretically a way of improving the effect of existing padding methods in high-pass transformations in the wavenumber domain. 展开更多
关键词 potential field transformation Fourier transform shift sampling theory A-E equation DFT0η η(0.5 0.5) algorithm
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Foundation Models for Information Retrieval and Knowledge Processing
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作者 Shuo Shang Renhe Jiang +1 位作者 Ryosuke Shibasaki Rui Yan 《Data Intelligence》 2024年第4期891-892,共2页
This special issue on Foundation Models for Information Retrieval and Knowledge Processing highlights the transformative potential of foundation models across a range of applications. The six selected papers explore i... This special issue on Foundation Models for Information Retrieval and Knowledge Processing highlights the transformative potential of foundation models across a range of applications. The six selected papers explore innovative methodologies and practical implementations that enhance the efficiency, accuracy, and scalability of information retrieval systems and knowledge processing frameworks, which are summarized as follow. 展开更多
关键词 information retrieval systems foundation models information retrieval transformative potential knowledge processing METHODOLOGIES
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