Bernard L Widrow

Author:

Bernard Widrow

ISBN #:

0130040290

Author:

Bernard Widrow

ISBN #:

0130059684

Author:

Bernard Widrow

ISBN #:

0470226099

Author:

Bernard Widrow

ISBN #:

0471215708

Author:

Bernard Widrow

ISBN #:

0780362780

US Patent:

7187907, Mar 6, 2007

Filed:

May 9, 2001

Appl. No.:

09/852469

Inventors:

Bernard Widrow - Stanford CA, US

International Classification:

H04B 1/38
H04M 1/00

US Classification:

455 73, 4555621, 455282, 455 305

Abstract:

This invention provides designs for communication systems that use adaptive filters in circuits whose purpose is to enable two-way transmission of information signals in the same frequency band at the same time over twisted pair channels, coaxial cable channels, fiber optic channels, or wireless channels. The methodology allows two-way DSL transmission over telephone lines, making use of existing DSL hardware and signal standards, so that the upload speed is increased by an approximate factor of ten. Applied to wireless systems with single antennas at the two ends of the channel, a doubling of the data rate is achieved for a given bandwidth. Applied to wireless systems with 2-way adaptive antenna arrays at a central location and a 2-way adaptive antenna array at each of a plurality of subscriber locations, the data rate for a given bandwidth is increased by a large factor.

US Patent:

7333963, Feb 19, 2008

Filed:

Oct 7, 2005

Appl. No.:

11/245860

Inventors:

Bernard Widrow - Stanford CA, US
Juan Carlos Aragon - Palo Alto CA, US
Brian Mitchell Percival - Palo Alto CA, US

International Classification:

G06E 1/00
G06E 3/00
G06F 15/18
G06G 7/00
G06N 3/08
G06K 9/62

US Classification:

706 18, 706 20, 706 25, 706934, 382155, 382159

Abstract:

Designs for cognitive memory systems storing input data, images, or patterns, and retrieving it without knowledge of where stored when cognitive memory is prompted by query pattern that is related to sought stored pattern. Retrieval system of cognitive memory uses autoassociative neural networks and techniques for pre-processing query pattern to establish relationship between query pattern and sought stored pattern, to locate sought pattern, and to retrieve it and ancillary data. Cognitive memory, when connected to computer or information appliance introduces computational architecture that applies to systems and methods for navigation, location and recognition of objects in images, character recognition, facial recognition, medical analysis and diagnosis, video image analysis, and to photographic search engines that when prompted with a query photograph containing faces and objects will retrieve related photographs stored in computer or other information appliance, and will identify URL's of related photographs and documents stored on the World Wide Web.

US Patent:

7702599, Apr 20, 2010

Filed:

Oct 7, 2005

Appl. No.:

11/245861

Inventors:

Bernard Widrow - Stanford CA, US

International Classification:

G06E 1/00
G06E 3/00
G06F 15/18
G06G 7/00
G06N 3/08
G06K 9/62

US Classification:

706 26, 706 18, 706 20, 706 25, 706934, 382155, 382159

Abstract:

Designs for cognitive memory systems storing input data, images, or patterns, and retrieving it without knowledge of where stored when cognitive memory is prompted by query pattern that is related to sought stored pattern. Retrieval system of cognitive memory uses autoassociative neural networks and techniques for pre-processing query pattern to establish relationship between query pattern and sought stored pattern, to locate sought pattern, and to retrieve it and ancillary data. Cognitive memory, when connected to computer or information appliance introduces computational architecture that applies to systems and methods for navigation, location and recognition of objects in images, character recognition, facial recognition, medical analysis and diagnosis, video image analysis, and to photographic search engines that when prompted with a query photograph containing faces and objects will retrieve related photographs stored in computer or other information appliance, and will identify URL's of related photographs and documents stored on the World Wide Web.

US Patent:

7991714, Aug 2, 2011

Filed:

Feb 15, 2008

Appl. No.:

12/032629

Inventors:

Bernard Widrow - Stanford CA, US
Juan Carlos Aragon - Palo Alto CA, US
Brian Mitchell Percival - Palo Alto CA, US

International Classification:

G06E 1/00
G06E 3/00
G06F 15/18
G06G 7/00
G06N 3/08
G06K 9/62

US Classification:

706 18, 706 20, 706 25, 706934, 382155, 382158, 382159

Abstract:

Designs for cognitive memory systems storing input data, images, or patterns, and retrieving it without knowledge of where stored when cognitive memory is prompted by query pattern that is related to sought stored pattern. Retrieval system of cognitive memory uses autoassociative neural networks and techniques for pre-processing query pattern to establish relationship between query pattern and sought stored pattern, to locate sought pattern, and to retrieve it and ancillary data. Cognitive memory, when connected to computer or information appliance introduces computational architecture that applies to systems and methods for navigation, location and recognition of objects in images, character recognition, facial recognition, medical analysis and diagnosis, video image analysis, and to photographic search engines that when prompted with a query photograph containing faces and objects will retrieve related photographs stored in computer or other information appliance, and will identify URL's of related photographs and documents stored on the World Wide Web.

US Patent:

20010044789, Nov 22, 2001

Filed:

Feb 13, 2001

Appl. No.:

09/782898

Inventors:

Bernard Widrow - Stanford CA, US
Marcelo Lamego - Irvine CA, US

Assignee:

The Board of Trustees of the Leland Stanford Junior University

International Classification:

G06F015/18

US Classification:

706/014000

Abstract:

A Neurointerface is a trainable filter based on neural networks that serves as a coupler between a human operator and a nonlinear system or plant that is to be controlled or directed. The purpose of the coupler is to ease the task of the human controller. The Neurointerface can be adapted to be an inverse or an approximate inverse of the plant. The Neurointerface can be adapted so that when it is cascaded with the plant, the overall plant response closely approximates the human command input. In this way, it is easy for the human operator to direct the response of the plant. A Neurointerface and a plant disturbance canceller have been applied to the steering system of a truck and trailer(s). The Neurointerface is used only while the truck is backing. Backing a truck with two or more trailers is essentially impossible for a professional truck driver, but is easily done by an unskilled driver when using the Neurointerface. Neurointerface designs are presented for human control of construction cranes and multi-jointed robot arms. The same principles can be applied to ease human control of other complex machines such as aircraft, helicopters, heavy earth moving equipment, and so forth. Obstacle avoidance can also be done with Neurointerface control.

US Patent:

20050075866, Apr 7, 2005

Filed:

Sep 28, 2004

Appl. No.:

10/952604

Inventors:

Bernard Widrow - Stanford CA, US

International Classification:

G10L019/14

US Classification:

704211000

Abstract:

This invention provides designs for systems that reduce or remove noise from noisy speech signals. These systems are based on adaptive predictors that can self-adjust to variations in speech signals within a fraction of the duration of a spoken word. Signal-to-noise ratio is improved, and speech intelligibility is enhanced. Detectability of human speech in noise is further increased by cascading two adaptive predictors, and removal of both periodic and wideband noise from noisy speech can be accomplished by cascading an adaptive narrowband noise canceller with an adaptive predictor. Applications are to hearing aids and hearing devices, and to speech communication systems that must work in noisy environments.

US Patent:

20070173195, Jul 26, 2007

Filed:

Dec 18, 2006

Appl. No.:

11/641622

Inventors:

Bernard Widrow - Stanford CA, US

International Classification:

H04H 1/00
H04B 7/14

US Classification:

455003050, 455015000

Abstract:

This invention provides designs for communication systems that use adaptive filters in circuits whose purpose is to enable two-way transmission of information signals in the same frequency band at the same time over twisted pair channels, coaxial cable channels, fiber optic channels, or wireless channels. The methodology allows two-way DSL transmission over telephone lines, making use of existing DSL hardware and signal standards, so that the upload speed is increased by an approximate factor of ten. Applied to wireless systems with single antennas at the two ends of the channel, a doubling of the data rate is achieved for a given bandwidth. Applied to wireless systems with 2-way adaptive antenna arrays at a central location and a 2-way adaptive antenna array at each of a plurality of subscriber locations, the data rate for a given bandwidth is increased by a large factor.

US Patent:

20100312734, Dec 9, 2010

Filed:

Apr 16, 2010

Appl. No.:

12/762092

Inventors:

Bernard Widrow - Stanford CA, US

International Classification:

G06N 3/08

US Classification:

706 25

Abstract:

Designs for cognitive memory systems storing input data, images, or patterns, and retrieving it without knowledge of where stored when cognitive memory is prompted by query pattern that is related to sought stored pattern. Retrieval system of cognitive memory uses autoassociative neural networks and techniques for pre-processing query pattern to establish relationship between query pattern and sought stored pattern, to locate sought pattern, and to retrieve it and ancillary data. Cognitive memory, when connected to computer or information appliance introduces computational architecture that applies to systems and methods for navigation, location and recognition of objects in images, character recognition, facial recognition, medical analysis and diagnosis, video image analysis, and to photographic search engines that when prompted with a query photograph containing faces and objects will retrieve related photographs stored in computer or other information appliance, and will identify URL's of related photographs and documents stored on the World Wide Web.