Jimmy K. Omura - Cupertino CA Paul T. Yang - Sunnyvale CA Gurgen H. Khachatrian - Yerevan, AM Karen M. Nikogossian - Yerevan, AM Karen S. Hovakimian - Yerevan, AM Armen L. Vartapetian - Yerevan, AM
Assignee:
Cylink Corporation - Sunnyvale CA
International Classification:
H04B 1500 H04K 100 H04L 2730
US Classification:
375207
Abstract:
A method for demodulating a received spread-spectrum signal using a minimum-shift-keyed (MSK) receiver. Using the method, an in-phase-component signal and a quadrature-phase-component signal are generated from a received spread-spectrum signal. The in-phase-component signal and the quadrature-phase-component signal are then processed and combined in such a way as to estimate data of the received-spread-spectrum signal.
Kishan Shenoi - Milpitas CA Paul P. Yang - Cupertino CA Terrence G. Sopira - Mountainview CA
Assignee:
DSC Communications Corporation - Plano TX
International Classification:
H04J 300
US Classification:
370 321
Abstract:
An integrated echo canceling multiplexor is provided which comprises an echo canceler for receiving DS1 signals for canceling echo in the DS1 signal and producing an echo-free digital logic signal. A first performance monitor is coupled to the echo canceler for receiving the echo-free digital logic signal and determining the quality of the signal. A multiplexor-demultiplexor is further coupled to the echo canceler for receiving the echo-free digital logic signal and producing a DS3 signal. Additionally, a second performance monitor is coupled to the multiplexor-demultiplexor and receives the DS3 signal and determines the quality of the signal.
Msk Spread-Spectrum Receiver Which Allows Cdma Operations
Jimmy K. Omura - Cupertino CA Paul T. Yang - Sunnyvale CA Gurgen H. Khachatrian - Yerevan, AM Karen M. Nikogossian - Yerevan, AM Karen S. Hovakimian - Yerevan, AM Armen L. Vartapetian - Yerevan, AM
Assignee:
Cylink Corporation - Sunnyvale CA
International Classification:
H04B 1500
US Classification:
375200
Abstract:
A method for demodulating a received spread-spectrum signal using a minimum-shift-keyed (MSK) receiver. Using the method, an in-phase-component signal and a quadrature-phase-component signal are generated from a received spread-spectrum signal. The in-phase-component signal and the quadrature-phase-component signal are then processed and combined in such a way as to estimate data of the received-spread-spectrum signal.
Msk Spread-Spectrum Receiver Which Allows Cdma Operations
Jimmy K. Omura - Cupertino CA Paul T. Yang - Sunnyvale CA Gurgen H. Khachatrian - Yerevan, AM Karen M. Nikogossian - Yerevan, AM Karen S. Hovakimian - Yerevan, AM Armen L. Vartapetian - Yerevan, AM
Assignee:
P-Com, Inc. - Campbell CA
International Classification:
H04K 100 H04L 2714
US Classification:
375207
Abstract:
A method for demodulating a received spread-spectrum signal using a minimum-shift-keyed (MSK) receiver. Using the method, an in-phase-component and a quadrature-phase-component of the received spread-spectrum signal are processed and combined in such a way as to estimate data of the received-spread-spectrum signal.
Inferential Analysis Using Feedback For Extracting And Combining Cyber Risk Information
Inferential analysis includes: assessing risk of a cyber security failure in a computer network of an entity, using a computer agent configured to collect information from at least one accessible Internet elements; automatically determining, based on the assessed risk, a change or a setting to at least one element of policy criteria of a cyber security policy; and automatically recommending, based on the assessed risk, a computer network change to reduce the assessed risk.
- Menlo Park CA, US Antoine Raux - Menlo Park CA, US Paul Yang - Palo Alto CA, US Felicia Wong - Menlo Park CA, US
International Classification:
H04L 9/32 G06F 17/27
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for secure data transmission using natural language. One of the methods includes: obtaining sensitive information for a user; obtaining a natural language key for the user, wherein the natural language key for the user includes one or more natural language tokens; generating decoding data for the sensitive information for the user, wherein generating the decoding data comprises: for each place in the sensitive information for the user: assigning a respective one of the natural language tokens in the natural language key for the user to the value at the place, and generating one or more respective dummy natural language tokens for each value of the respective set of possible values for the place other than the value at the place; and providing the decoding data for use in decoding the natural language key into the sensitive information.
Inferential Analysis Using Feedback For Extracting And Combining Cyber Risk Information
- Foster City CA, US Brian Wu - San Francisco CA, US Ming Yang - San Mateo CA, US Paul Yang - San Mateo CA, US Fernando Tancioco - San Ramon CA, US
International Classification:
H04L 29/06 G06N 99/00 G06Q 30/00 G06Q 40/06
Abstract:
Various embodiments of the present technology include methods of assessing risk of a cyber security failure in a computer network of an entity. Some embodiments involve using continual or periodic data collecting to improve inferential analysis, as well as obtaining circumstantial or inferential information from social networks. Machine learning may be used to improve predicitive capabilities. Some embodiments allow for identification of an entity from circumstantial or inferential information based on the machine learning and comparative analyses.
Inferential Analysis Using Feedback For Extracting And Combining Cyber Risk Information
- San Mateo CA, US Brian Wu - San Francisco CA, US Ming Yang - San Mateo CA, US Paul Yang - San Mateo CA, US Fernando Tancioco, JR. - San Ramon CA, US
International Classification:
H04L 29/06 G06Q 30/00 G06N 99/00
Abstract:
Various embodiments of the present technology include methods of assessing risk of a cyber security failure in a computer network of an entity. Some embodiments involve using continual or periodic data collecting to improve inferential analysis, as well as obtaining circumstantial or inferential information from social networks. Machine learning may be used to improve predicitive capabilities. Some embodiments allow for identification of an entity from circumstantial or inferential information based on the machine learning and comparative analyses.
Isbn (Books And Publications)
Conformal, Riemannian, and Lagrangian Geometry: The 2000 Barrett Lectures
"It's one of the most exciting things for our field in recent memory," says Paul Yang, an assistant professor of ophthalmology at the Oregon Health and Science University who wasn't involved in developing or testing the treatment.
Date: Oct 12, 2017
Category: Health
Source: Google
Seeing hope: FDA panel considers gene therapy for blindness
"It's exciting" and in some cases might be a cure, although how long the benefits last isn't known, said Dr. Paul Yang, an eye specialist at Oregon Health & Science University who is testing gene therapies for other companies. "There's nothing else for these kids."
China Development Industrial Bank president Paul Yang () said that as an investment manager, the bank would initially prefer to receive proposals that focus on industries in e-commerce or the Internet.
"Let's say you're planning a road trip down the beautiful coast of California's Highway 1 and want to be able to see what the route really looks like," writes Paul Yang, a Google Maps engineer. "California's rugged coastline is not to be missed, but the top-down view really doesn't give you a good