General Instrument Corporation

Lutron Technology Company LLC

Comcast Cable Communications, LLC

Arris Enterprises LLC

Other

Arris Technology, Inc.

The Research Foundation for the State University

Lutron Electronics Company, Inc.

The Research Foundation for Suny

General Information Corporation

Andrew Wireless Systems Gmbh

Arris International IP Ltd

Robert J Thompson

Charles Sidney Moore

John L Moran, Iii

Michael Jaimie Cooper

Charles S Moore

John L Moran

Thomas F Rebbert

Maurice Manuel Garcia

Marc L Morrissette

Xiaohua Li

Rudolph J Menna

Christopher Jeblonski

David C Hartrum

Edward J Blair

Samuel F Chambers

Stephen Lundy

Brian K Thibeault

Mark L Fowler

Jackson Burlew

Lei Zhou

Robert Howald

Iii Moran John L

As described herein, a motorized window treatment may be configured to synchronize its covering material with other motorized window treatments if movement of the covering material has been delayed. The motor drive unit may receive a message including a command via wireless signals, and rotate a roller tube to adjust a present position of the covering material at an increased rate in response to determining that adjustment of the covering material in response to the command is delayed. The control circuit may determine a delay time between when the other motorized window treatments began to move and when the motor drive unit begins to move in response to the command. The control circuit may begin adjusting the present position of the covering material at a nominal rate in response to determining that the covering material is synchronized with the other motorized window treatments using the determined delay time.

Controlling a position of a covering material of a battery-powered motorized window treatment

Motorized window treatment systems are disclosed. A motorized window treatment system may include a covering material, a sensor circuit, and a control circuit. The sensor circuit may be configured to generate sensor signals indicative of a position of the covering material. The control circuit may be configured to determine a present sensor state of the sensor circuit, determine a predicted sensor state for the sensor circuit based at least in part on a power-down position recorded at a first time and a final position recorded at a second time, compare the predicted sensor state with the present sensor state, and determine a present position of the covering material based on the comparison of the predicted sensor state and the present sensor state. Methods of adjusting a position of a covering material of a motorized window treatment also are disclosed.

Tracking a position of a motorized window treatment

Systems, apparatuses, and methods are described for deploying upstream bandwidth upgrade of devices per home basis. The impact of the upstream bandwidth upgrade on the devices may be pre-estimated based on remotely monitoring and/or analyzing performance data of the devices collected during transmissions of test signals (e.g., a burst of upstream transmissions) in real-time from the devices operating under different modes of operations. The burst of upstream transmissions using a small bandwidth (e.g., 1.6 MHz) may be limited to a short duration of time (e.g., 5 seconds) so that on-going services provided by the devices are not substantially interrupted. The upstream bandwidth of the devices, based on the pre-estimated impact, may be upgraded, left unaltered, or downgraded.

Network management for band splits

Systems, methods, and apparatuses for remote evaluation of content delivery service are described. A remote computing device may determine the existence and performance characteristics of devices and equipment at a premises by monitoring and analyzing data from a network associated with the premises to determine the presence or absence of equipment, compatibility issues, and performance quality.

Remote evaluation of content delivery service

The nonlinearity of power amplifiers (PAs) has been a severe constraint in performance of modern wireless transceivers. This problem is even more challenging for the fifth generation (5G) cellular system since 5G signals have extremely high peak to average power ratio. Nonlinear equalizers that exploit both deep neural networks (DNNs) and Volterra series models are provided to mitigate PA nonlinear distortions. The DNN equalizer architecture consists of multiple convolutional layers. The input features are designed according to the Volterra series model of nonlinear PAs. This enables the DNN equalizer to effectively mitigate nonlinear PA distortions while avoiding over-fitting under limited training data. The non-linear equalizers demonstrate superior performance over conventional nonlinear equalization approaches.

Integrating volterra series model and deep neural networks to equalize nonlinear power amplifiers

Methods and systems capable of improving the transmission of data along an upstream path of a Hybrid Fiber-Coaxial Cable Network, from a transmitter in a node to a receiver in a Cable Modem Termination System.

CATV digital transmission with bandpass sampling

The nonlinearity of power amplifiers (PAs) has been a severe constraint in performance of modern wireless transceivers. This problem is even more challenging for the fifth generation (5G) cellular system since 5G signals have extremely high peak to average power ratio. Non-linear equalizers that exploit both deep neural networks (DNNs) and Volterra series models are provided to mitigate PA nonlinear distortions. The DNN equalizer architecture consists of multiple convolutional layers. The input features are designed according to the Volterra series model of nonlinear PAs. This enables the DNN equalizer to effectively mitigate nonlinear PA distortions while avoiding over-fitting under limited training data. The non-linear equalizers demonstrate superior performance over conventional nonlinear equalization approaches.

A motorized window treatment system is provided for moving a covering material (e.g., a shade fabric). The motorized window treatment system includes a motor drive circuit configured to generate signals that cause a motor to change a position of the covering material. A sensor circuit is provided to generate one or more sensor signals indicative of the position of the covering material. The motorized window treatment system further includes a control circuit coupled to the sensor circuit to receive the one or more sensor signals. The control circuit is configured to detect a power-down event when a supply voltage is equal to or less than a threshold value, and stores a power-down position and one or more power-down sensor states. The control circuit is configured to determine a present position based on the stored power-down position and the one or more power-down sensor states.

Integrating Volterra series model and deep neural networks to equalize nonlinear power amplifiers

Systems and methods of estimating a distance to a cause of a micro-reflection in a CATV network.

Microreflection delay estimation in a CATV network

CATV digital transmission with BandPass sampling

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Monroeton, PA, United States of America

Robert J Thompson