AU6105296A - Neutral network processor for communication systems and meth od for its use - Google Patents

Neutral network processor for communication systems and meth od for its use

Info

Publication number
AU6105296A
AU6105296A AU61052/96A AU6105296A AU6105296A AU 6105296 A AU6105296 A AU 6105296A AU 61052/96 A AU61052/96 A AU 61052/96A AU 6105296 A AU6105296 A AU 6105296A AU 6105296 A AU6105296 A AU 6105296A
Authority
AU
Australia
Prior art keywords
meth
communication systems
network processor
neutral network
neutral
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
AU61052/96A
Inventor
Mark A. Astengo
Alex D. Rast
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
INFICOM Inc
Original Assignee
INFICOM Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by INFICOM Inc filed Critical INFICOM Inc
Publication of AU6105296A publication Critical patent/AU6105296A/en
Abandoned legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/02Amplitude-modulated carrier systems, e.g. using on-off keying; Single sideband or vestigial sideband modulation
    • H04L27/06Demodulator circuits; Receiver circuits
    • H04L27/066Carrier recovery circuits
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/06Receivers
    • H04B1/10Means associated with receiver for limiting or suppressing noise or interference

Landscapes

  • Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Noise Elimination (AREA)
AU61052/96A 1995-06-07 1996-06-07 Neutral network processor for communication systems and meth od for its use Abandoned AU6105296A (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US48811895A 1995-06-07 1995-06-07
US488118 1995-06-07
PCT/US1996/009621 WO1996041277A1 (en) 1995-06-07 1996-06-07 Neutral network processor for communication systems and method for its use

Publications (1)

Publication Number Publication Date
AU6105296A true AU6105296A (en) 1996-12-30

Family

ID=23938395

Family Applications (1)

Application Number Title Priority Date Filing Date
AU61052/96A Abandoned AU6105296A (en) 1995-06-07 1996-06-07 Neutral network processor for communication systems and meth od for its use

Country Status (2)

Country Link
AU (1) AU6105296A (en)
WO (1) WO1996041277A1 (en)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2622846C1 (en) * 2016-06-15 2017-06-20 федеральное государственное казенное военное образовательное учреждение высшего образования "Военная академия связи имени Маршала Советского Союза С.М. Буденного" Министерства обороны Российской Федерации Method and device for automatic recognition of radio signals manipulation type
US11551028B2 (en) 2017-04-04 2023-01-10 Hailo Technologies Ltd. Structured weight based sparsity in an artificial neural network
US11544545B2 (en) 2017-04-04 2023-01-03 Hailo Technologies Ltd. Structured activation based sparsity in an artificial neural network
US10387298B2 (en) 2017-04-04 2019-08-20 Hailo Technologies Ltd Artificial neural network incorporating emphasis and focus techniques
US11238334B2 (en) 2017-04-04 2022-02-01 Hailo Technologies Ltd. System and method of input alignment for efficient vector operations in an artificial neural network
US11615297B2 (en) 2017-04-04 2023-03-28 Hailo Technologies Ltd. Structured weight based sparsity in an artificial neural network compiler
US11263077B1 (en) 2020-09-29 2022-03-01 Hailo Technologies Ltd. Neural network intermediate results safety mechanism in an artificial neural network processor
US11811421B2 (en) 2020-09-29 2023-11-07 Hailo Technologies Ltd. Weights safety mechanism in an artificial neural network processor
US11237894B1 (en) 2020-09-29 2022-02-01 Hailo Technologies Ltd. Layer control unit instruction addressing safety mechanism in an artificial neural network processor
US11221929B1 (en) 2020-09-29 2022-01-11 Hailo Technologies Ltd. Data stream fault detection mechanism in an artificial neural network processor

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4954963A (en) * 1989-03-02 1990-09-04 Texas Instruments Incorporated Neural network and system
JPH04211802A (en) * 1990-07-25 1992-08-03 Toshiba Corp Neural network device
US5263120A (en) * 1991-04-29 1993-11-16 Bickel Michael A Adaptive fast fuzzy clustering system
US5280184A (en) * 1992-04-08 1994-01-18 Georgia Tech Research Corporation Three dimensional integrated circuits with lift-off
US5343251A (en) * 1993-05-13 1994-08-30 Pareto Partners, Inc. Method and apparatus for classifying patterns of television programs and commercials based on discerning of broadcast audio and video signals
US5383164A (en) * 1993-06-10 1995-01-17 The Salk Institute For Biological Studies Adaptive system for broadband multisignal discrimination in a channel with reverberation

Also Published As

Publication number Publication date
WO1996041277A1 (en) 1996-12-19

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