Tu; Sheng-Yuan

Patent Applications and Registrations

Patent applications and USPTO patent grants for Tu; Sheng-Yuan.The latest application filed is for "methods and systems for minimum mean squares based non-linear interference management in multi-technology communication devices".

Company Profile

0.2.12

Tu; Sheng-Yuan - San Diego CA

*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.

Patent Activity

Patent	Date
Mitigation of interference caused by a transmitter Grant 10,069,587 - Rimini , et al. September 4, 2	2018-09-04
Methods and systems for multi-layer perceptron based non-linear interference management in multi-technology communication devices Grant 9,484,974 - Tu , et al. November 1, 2	2016-11-01
Methods and Systems for Radial Basis Function Neural Network With Hammerstein Structure Based Non-Linear Interference Management in Multi-Technology Communications Devices App 20160071007 - TU; Sheng-Yuan ; et al.	2016-03-10
Methods and Systems for Banked Radial Basis Function Neural Network Based Non-Linear Interference Management for Multi-Technology Communication Devices App 20160071009 - ABRISHAMKAR; Farrokh ; et al.	2016-03-10
Multilayer Perceptron for Dual SIM Dual Active Interference Cancellation App 20160071003 - Abrishamkar; Farrokh ; et al.	2016-03-10
Methods and Systems for Multi-Model Radial Basis Function Neural Network Based Non-Linear Interference Management in Multi-Technology Communication Devices App 20160071008 - Tu; Sheng-Yuan ; et al.	2016-03-10
Methods and Systems for Block Least Squares Based Non-Linear Interference Management in Multi-Technology Communication Devices App 20160072591 - TU; Sheng-Yuan ; et al.	2016-03-10
Methods and Systems for Multi-Model, Multi-Layer Perceptron Based Non-Linear Interference Management in Multi-Technology Communication Devices App 20160072543 - Abrishamkar; Farrokh ; et al.	2016-03-10
Methods and Systems for Minimum Mean Squares Based Non-Linear Interference Management in Multi-Technology Communication Devices App 20160072649 - TU; Sheng-Yuan ; et al.	2016-03-10
Methods and Systems for Multi-Model Block Least Squares/Radial Basis Function Neural Network Based Non-Linear Interference Management for Multi-Technology Communication Devices App 20160072592 - TU; Sheng-Yuan ; et al.	2016-03-10
Methods and Systems for Support Vector Regression Based Non-Linear Interference Management in Multi-Technology Communication Devices App 20160072531 - ABRISHAMKAR; Farrokh ; et al.	2016-03-10
Methods and Systems for Multi-layer Perceptron Based Non-Linear Interference Management in Multi-Technology Communication Devices App 20160072590 - TU; Sheng-Yuan ; et al.	2016-03-10
Apparatus And Methods For Mud Symbol Detection And Symbol-level Mud Inter-cell Parallel Interference Cancellation In Td-scdma App 20160013877 - TU; Sheng-Yuan ; et al.	2016-01-14
Apparatus And Methods For Joint Channel Estimation And Non-linear Symbol Detection In Td-scdma App 20160014726 - ABRISHAMKAR; Farrokh ; et al.	2016-01-14

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.