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Bernard Widrow

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28: 264:. To design a Wiener filter, one must know the statistics of the noiseless signal that one wants to recover. However, if the statistics of the noiseless signal is unknown, this cannot be designed. Widrow thus designed an adaptive filter that uses gradient descent to minimize the mean square error. He also attended the 324:
Unable to train multilayered neural networks, Widrow turned to adaptive filtering and adaptive signal processing, using techniques based on the LMS filter for applications such as adaptive antenna, adaptive noise canceling, and applications to medicine.
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machine should not be connected randomly to the A-units. Instead, the S-units should be removed, so that the photocell inputs would be directly inputted into the A-units. Rosenblatt objected that "the human retina is built that way".
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Rule I (1962), which had two weight layers. The first was trainable, but the second was fixed. Widrow stated their problem would have been solved by the backpropagation algorithm. "This was long before
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computer. The experience of building magnetic core memory shaped his understanding of computers into a "memory's eye view", that is, he "look for the memory and see what you have to connect around it".
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He entered MIT in 1947, studied electrical engineering and electronics, and graduated in 1951. After that, he got a research assistantship in the MIT Digital Computer Laboratory, in the
973: 864:"The 2001 Benjamin Franklin Medal in Engineering presented to Bernard Widrow - Journal of the Franklin Institute - Tom 339, Numer 3 (2002) - Biblioteka Nauki - Yadda" 332:, he noticed that neural network research was returning, and he also learned of the backpropagation algorithm. After that, he returned to neural network research. 925: 551:"(1960) Bernard Widrow and Marcian E. Hoff, "Adaptive switching circuits," [i]1960 IRE WESCON Convention Record[/i], New York: IRE, pp. 96-104." 978: 246:
of the sensing signal of magnetic core memory. Back then, the hysteresis loops for magnetic core memory was not square enough, making sensing signal noisy.
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Despite many attempts, they never succeeded in developing a training algorithm for a multilayered neural network. The furthest they got was with
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Widrow, B.; Glover, J.R.; McCool, J.M.; Kaunitz, J.; Williams, C.S.; Hearn, R.H.; Zeidler, J.R.; Eugene Dong, Jr.; Goodlin, R.C. (1975).
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He is the namesake of "Uncle Bernie's Rule": the training sample size should be 10 times the number of weights in a network.
69: 968: 617: 280:. They improved the previous adaptive filter so that it makes a gradient descent for each datapoint, resulting in the 570: 907: 392: 250: 592:"Bernard Widrow, an oral history conducted in 1997 by Andrew Goldstein, IEEE History Center, Piscataway, NJ, USA" 402: 414: 652:"Collection: Massachusetts Institute of Technology, Digital Computer Laboratory records | MIT ArchivesSpace" 341:
1965 "A critical comparison of two kinds of adaptive classification networks", K. Steinbuch and B. Widrow,
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Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications.
178: 163: 216:. While young, he was interested in electronics. During WWII, he found an entry on "Radios" in the 827:
Yelderman, Mark; Widrow, Bernard; Cioffi, John M.; Hesler, Edward; Leddy, Jeffrey A. (July 1983).
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He was one of the Board of Governors of the International Neural Network Society (INNIS) in 2003.
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group. The DCL was a division of the Servomechanisms Laboratory, which was building the
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For his PhD (1956, advised by William Linvill), he worked on the statistical theory of
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technique. He made other fundamental contributions to the development of
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Widrow, B.; Mantey, P.E.; Griffiths, L.J.; Goode, B.B. (1967).
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International Neural Network Society (INNIS) Board member 2004
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Members of the United States National Academy of Engineering
826: 377: 253:, inspired by work by William Linvill and David Middleton. 748: 787: 790:"Adaptive noise cancelling: Principles and applications" 166:(LMS) adaptive algorithm with his then doctoral student 32:
Widrow demonstrating the "Knobby Adaline" device (1963)
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Benjamin Franklin Medal (Franklin Institute) laureates
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Anderson, James A.; Rosenfeld, Edward, eds. (2000).
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in the fields of geophysics, adaptive antennas, and
615: 533:Advances in Neural Information Processing Systems 935: 619:Talking Nets: An Oral History of Neural Networks 468: 154:(born December 24, 1929) is a U.S. professor of 557:, The MIT Press, pp. 123–134, 1988-04-07, 526: 979:Massachusetts Institute of Technology alumni 276:In 1959, he got his first graduate student, 162:. He is the co-inventor of the Widrow–Hoff 833:IEEE Transactions on Biomedical Engineering 207: 495: 464: 462: 460: 458: 456: 454: 408:IEEE Signal Processing Society Award, 1999 26: 700: 496:Widrow, B.; Lehr, M.A. (September 1990). 343:IEEE Transactions on Electronic Computers 238:For his masters thesis (1953, advised by 398:IEEE Neural Networks Pioneer Medal, 1991 316:. Backprop to me is almost miraculous." 299:, Widrow argued that the S-units in the 268:in 1956 and was inspired to work on AI. 451: 936: 674: 359:New Jersey: Prentice-Hall, Inc., 1994. 352:New Jersey: Prentice-Hall, Inc., 1985. 861: 725:"Oral-History:David Middleton (2000)" 319: 70:Massachusetts Institute of Technology 949:Artificial intelligence researchers 13: 681:IRE Transactions on Circuit Theory 348:1985 B. Widrow and S. D. Stearns. 14: 990: 868:Journal of the Franklin Institute 527:Morgan, N.; Bourlard, H. (1989). 366:Cambridge University Press, 2008. 908:IEEE Alexander Graham Bell Medal 393:IEEE Alexander Graham Bell Medal 170:. The LMS algorithm led to the 954:IEEE Centennial Medal laureates 855: 820: 781: 742: 717: 403:National Academy of Engineering 362:2008 B. Widrow and I. Kollar. 335: 668: 644: 628:10.7551/mitpress/6626.003.0004 609: 584: 563:10.7551/mitpress/4943.003.0012 543: 520: 489: 355:1994 B. Widrow and E. Walach. 1: 880:10.1016/S0016-0032(01)00044-8 471:"Bernard Widrow Oral History" 427: 271: 445:"Widrow's Stanford web page" 242:), he worked on raising the 223:and built a one-tube radio. 199: 193:. A summary of his work is. 7: 969:Stanford University faculty 475:IEEE Global History Network 411:IEEE Millennium Medal, 2000 350:Adaptive Signal Processing. 256:During PhD, he learned the 10: 995: 751:"Adaptive antenna systems" 204:This section is based on. 179:artificial neural networks 914: 905: 897: 892: 469:Andrew Goldstein (1997). 383:Elected Fellow AAAS, 1980 370: 357:Adaptive Inverse Control. 164:least mean squares filter 145: 114: 102: 92: 82: 75: 65: 55: 37: 25: 18: 841:10.1109/TBME.1983.325039 693:10.1109/TCT.1956.1086334 555:Neurocomputing, Volume 1 328:At a 1985 conference in 208:Early life and education 862:Abend, Kenneth (2002). 835:. BME-30 (7): 392–398. 806:10.1109/PROC.1975.10036 794:Proceedings of the IEEE 755:Proceedings of the IEEE 502:Proceedings of the IEEE 415:Benjamin Franklin Medal 219:World Book Encyclopedia 767:10.1109/PROC.1967.6092 295:During a meeting with 156:electrical engineering 87:Electrical engineering 926:William C. Jakes, Jr. 656:archivesspace.mit.edu 387:IEEE Centennial Medal 244:signal-to-noise ratio 228:magnetic core memory 214:Norwich, Connecticut 922:Richard H. Frenkiel 675:Widrow, B. (1956). 345:, pp. 737–740. 160:Stanford University 97:Stanford University 539:. Morgan-Kaufmann. 401:Inducted into the 320:Adaptive filtering 266:Dartmouth workshop 251:quantization noise 191:adaptive filtering 932: 931: 915:Succeeded by 800:(12): 1692–1716. 761:(12): 2143–2159. 637:978-0-262-26715-1 622:. The MIT Press. 187:signal processing 149: 148: 115:Doctoral students 77:Scientific career 48:December 24, 1929 986: 898:Preceded by 890: 889: 884: 883: 874:(339): 283–294. 859: 853: 852: 824: 818: 817: 785: 779: 778: 746: 740: 739: 737: 736: 721: 715: 714: 704: 672: 666: 665: 663: 662: 648: 642: 641: 613: 607: 606: 604: 603: 588: 582: 581: 580: 579: 547: 541: 540: 524: 518: 517: 508:(9): 1415–1442. 493: 487: 486: 484: 482: 466: 449: 448: 441: 297:Frank Rosenblatt 104:Doctoral advisor 51: 47: 45: 30: 16: 15: 994: 993: 989: 988: 987: 985: 984: 983: 934: 933: 928: 911: 903: 888: 887: 860: 856: 825: 821: 786: 782: 747: 743: 734: 732: 723: 722: 718: 673: 669: 660: 658: 650: 649: 645: 638: 614: 610: 601: 599: 590: 589: 585: 577: 575: 573: 549: 548: 544: 525: 521: 514:10.1109/5.58323 494: 490: 480: 478: 467: 452: 443: 442: 435: 430: 376:Elected Fellow 373: 338: 322: 274: 240:William Linvill 212:He was born in 210: 202: 183:backpropagation 141: 132:Richard Mattson 109:William Linvill 66:Alma mater 49: 43: 41: 33: 21: 12: 11: 5: 992: 982: 981: 976: 971: 966: 961: 956: 951: 946: 930: 929: 916: 913: 904: 901:Charles K. 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Index


American
Massachusetts Institute of Technology
Electrical engineering
Stanford University
Doctoral advisor
William Linvill
Parham Aarabi
Marcian Hoff
Richard Mattson
Alvy Ray Smith
electrical engineering
Stanford University
least mean squares filter
Ted Hoff
ADALINE
MADALINE
artificial neural networks
backpropagation
signal processing
adaptive filtering
Norwich, Connecticut
World Book Encyclopedia
magnetic core memory
Whirlwind I
William Linvill
signal-to-noise ratio
quantization noise
Wiener filter
Lee Yuk-wing

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