39 resources related to Extrapolation
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ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP 2014 will be the world s largest and most comprehensive technical conference focused on the many facets of signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and oral/poster sessions on the most up-to-date topics in signal processing research.
VTC will bring together individuals from academia, industry and government to discuss and exchange ideas in the fields of mobile, wireless and vehicular technology as well as the applications and services associated with such technology. Features include world-class plenary speakers, panel sessions, tutorials, and both technical and application-based sessions.
2012 IEEE 12th International Conference on Data Mining (ICDM)
ICDM has established itself as the world's premier research conference in data mining covering all aspects of data mining in a wide range related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing.
Given volumes of information in digital form, we are constantly faced with new challenges with regards to efficiently using it and extracting useful knowledge from it. Information reuse and integration (IRI) seeks to maximally exploit such available information to create new knowledge and to reuse it for addressing newer challenges. It plays a pivotal role in the capture, maintenance, integration, validation, extrapolation, and application of knowledge to augment human decision -making capabilities.
2010 4th International Conference on Intelligent Information Technology Application (IITA)
IITA 2010 provides a forum for engineers and scientists in academia, university and industry to present their latest research findings in any aspects of intelligent information technology
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
Rapid dissemination of new results in signal processing world-wide.
The technology of transmission, recording, reproduction, processing, and measurement of speech; other audio-frequency waves and other signals by digital, electronic, electrical, acoustic, mechanical, and optical means; the components and systems to accomplish these and related aims; and the environmental, psychological, and physiological factors of thesetechnologies.
Hui Zhao; Ruyan Wang; Daiping Song; Dapeng Wu; Tianqi Zhang Signal Processing Letters, IEEE, 2012
This letter investigates the extrapolation problem of discrete (_a_,_b_,_c_,_d_)-bandlimited signals. Based on operator notations, we first show that the extrapolation problem amounts to finding an admissible solution of an under-determined system. Then the minimum norm least squares (MNLS) solution is shown to be an admissible extrapolation estimate. Besides, singular value decomposition method is used to set up an extrapolation formula ...
Li-Chien Lin; Kuo, C.-C.J. Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on, 1994
A new approach for signal extrapolation based on wavelet representation: known as scale-time limited extrapolation and a denoising process is investigated in this research. We first examine a new signal modeling technique using wavelets and the corresponding scale-time limited signal extrapolation algorithm. Then, the sensitivity of the algorithm to noise is discussed, and a denoising algorithm based on the time-localization ...
Siyu Gu; Chenji Pan; Hengchang Liu; Shen Li; Shaohan Hu; Lu Su; Shiguang Wang; Dong Wang; Amin, T.; Govindan, R.; Aggarwal, C.; Ganti, R.; Srivatsa, M.; Barnoy, A.; Terlecky, P.; Abdelzaher, T. Distributed Computing in Sensor Systems (DCOSS), 2014 IEEE International Conference on, 2014
This paper complements the large body of social sensing literature by developing means for augmenting sensing data with inference results that "fill-in" missing pieces. Unlike trend-extrapolation methods, we focus on prediction in disaster scenarios where disruptive trend changes occur. A set of prediction heuristics (and a standard trend extrapolation algorithm) are compared that use either predominantly-spatial or predominantly-temporal correlations for ...
Michalski, K.A. Antennas and Propagation, IEEE Transactions on, 1998
A review is presented of the extrapolation methods for accelerating the convergence of Sommerfeld-type integrals (i.e. semi-infinite range integrals with Bessel function kernels), which arise in problems involving antennas or scatterers embedded in planar multilayered media. Attention is limited to partition-extrapolation procedures in which the Sommerfeld integral is evaluated as a sum of a series of partial integrals over finite ...
Seiler, J.; Kaup, A. Signal Processing Letters, IEEE, 2010
Signal extrapolation tasks arise in miscellaneous manners in the field of image and video signal processing. But, due to the widespread use of low-power and mobile devices, the computational complexity of an algorithm plays a crucial role in selecting an algorithm for a given problem. Within the scope of this contribution, we introduce the complex-valued Frequency Selective Extrapolation for fast ...
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