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Icassp 2001 International Conference on Acoustics, Speech, and Signal Processing by IEEE Signal Processing Society

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Published by Institute of Electrical & Electronics Enginee .
Written in English

Subjects:

  • Signal processing,
  • Acoustics & Sound,
  • Technology,
  • Computers - General Information,
  • Science/Mathematics

Book details:

The Physical Object
FormatHardcover
Number of Pages3600
ID Numbers
Open LibraryOL11000150M
ISBN 100780370430
ISBN 109780780370432

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Book, Internet Resource: All Authors / Contributors: IEEE Signal Processing Society. ISBN: OCLC Number: Notes: "The IEEE International Conference is the twenty-sixth in an ongoing series "--Page iii. "ICASSP "--Page iii. "IEEE Catalog Number: 01CH"--Title page. IEEE Xplore, delivering full text access to the world's highest quality technical literature in engineering and technology. | IEEE Xplore. Dynamically parameterized algorithms and architectures to exploit signal variations for improved performance and reduced power. Authors. W Burleson R Tessier D Goeckel S Swaminathan P Jain J Euh S Venkatraman V Thyagarajan. Publication Date. Journal or Book Title. IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL Cited by: Conferences related to Text Processing Back to Top. IEEE International Conference on Image Processing (ICIP) The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing.

3. LATENT SEMANTIC INDEXING (LSI) LSI is an important statistical tool for describing the semantic content of a collection of text. As originally defined [8], we col-lect a histogram of all the words in a document, where describes the d-th document and is the d-th column of a matrix. We used local (log of term frequency + 1) and global term. In Proceedings of the IEEE ICASSP, Orlando: USA, May I. Yamada, K. Slavakis, and K. Yamada. An efficient robust adaptive filtering scheme based on parallel subgradient projection techniques. In Proceedings of the IEEE ICASSP, Salt Lake City: USA, May K. Slavakis and I. Yamada. In , with Li Deng, he Co-authored the book Speech Processing: A Dynamic and Optimization-Oriented Approach (Marcel Dekker Inc.). He has presented tutorials on speech recognition at ICASSP in Atlanta, ICASSP in Orlando, and at ICC in by: A. S. Paul, E. A. Wan and P. G. Jacobs, "Sigma-point Kalman smoothing for indoor tracking and auto-calibration using time-of-flight ranging," In proceedings of The 24th International Technical Meeting of The Institute of Navigation (ION GNSS ), Portland, OR, September, P. G. Jacobs, A. S. Paul and E. A. Wan, "EmbedRF Position Tracking and Mobility Assessment System: A low-power and.

V John Mathews is a professor in the School of Electrical Engineering and Computer Science at the Oregon State University. He received his Ph.D. and M.S. degrees in electrical and computer engineering from the University of Iowa, Iowa City, Iowa in and , respectively, and the B.E. (Hons.) degree in electronics and communication engineering from the Regional Engineering College (now. We propose finite-length multi-input multi-output adaptive equalization methods for "smart" antenna arrays using the statistical theory of canonical correlations. We show that the proposed methods are related to maximum likelihood reduced-rank channel and noise estimation algorithms in unknown spatially correlated noise, and to several recently proposed adaptive equalization by: 1. Cyril Botteron, Anders Høst-Madsen, and Michel Fattouche: "Cramer-Rao Bound for Location Estimation of a Mobile in Asynchronous DS-CDMA Systems," presented at ICASSP', Salt Lake City, Utah. Anders Høst-Madsen and Xiaodong Wang: "Cramer-Rao Bounds for Blind and Group-Blind Multiuser Detectors," presented at 39 th Annual Allerton. Proceedings of ICASSP, pp. (The first author, Yuxuan Wang, receives the ICASSP Starkey Signal Processing Research Award for this paper as a graduate student). Zhao X., Wang Y., and Wang D.L. (): Deep neural networks for cochannel speaker identification.