Kalya
Anirudha Kalya US
Patent application number | Description | Published |
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20160044159 | SYSTEM AND METHOD FOR ACOUSTIC ECHO CANCELLATION - A system and method for acoustic echo cancellation is provided. Embodiments may include receiving, at one or more microphones, an audio reference signal from an audio speaker. Embodiments may also include filtering the audio reference signal using one or more adaptive audio filters. Embodiments may further include analyzing a level of signal energy of the audio reference signal with regard to time, frequency and audio channel to identify at least one maximum error contribution point. Embodiments may also include updating the one or more adaptive audio filters based upon, at least in part, the analyzed audio reference signal. | 02-11-2016 |
Anirudha Kalya, Gainesville, FL US
Patent application number | Description | Published |
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20160044159 | SYSTEM AND METHOD FOR ACOUSTIC ECHO CANCELLATION - A system and method for acoustic echo cancellation is provided. Embodiments may include receiving, at one or more microphones, an audio reference signal from an audio speaker. Embodiments may also include filtering the audio reference signal using one or more adaptive audio filters. Embodiments may further include analyzing a level of signal energy of the audio reference signal with regard to time, frequency and audio channel to identify at least one maximum error contribution point. Embodiments may also include updating the one or more adaptive audio filters based upon, at least in part, the analyzed audio reference signal. | 02-11-2016 |
Prabhanjana Kalya, Greenville, SC US
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20130318018 | NEURAL NETWORK-BASED TURBINE MONITORING SYSTEM - A neural network-based system for monitoring a turbine compressor. In various embodiments, the neural network-based system includes: at least one computing device configured to monitor a turbine compressor by performing actions including: comparing a monitoring output from a first artificial neural network (ANN) about the turbine compressor to a monitoring output from a second, distinct ANN about the turbine compressor; and predicting a probability of a malfunction in the turbine compressor based upon the comparison of the monitoring outputs from the first ANN and the second, distinct ANN. | 11-28-2013 |
Prabhanjana Kalya, Madhapur IN
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20150192912 | METHOD AND SYSTEM FOR COMBUSTION MODE TRANSFER FOR A GAS TURBINE ENGINE - A method and system for transferring between combustion modes in a gas turbine engine is provided. A processor generates data representative of an initial set of splits for providing at least one of fuel and air to at least one combustor in the gas turbine engine. A gas turbine engine model module generates data representative of at least one engine operating condition. A first split calculation module generates data representative of at least one set of active control splits to control the engine in a first combustion mode, using as an input the initial split data. A second split calculation module generates data representative of at least one set of passive control splits to control the engine in at least a second combustion mode. Transfer between combustion modes may be accomplished via use of at least one of the active control splits and the passive control splits. | 07-09-2015 |
Prabhanjana Kalya, Kondapur IN
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20150240726 | MODEL-BASED FEED FORWARD APPROACH TO COORDINATED AIR-FUEL CONTROL ON A GAS TURBINE - Presented herein are turbine machines, turbine control systems, methods, and computer-readable storage devices for controlling turbines including a compressor, a combustion system, and a turbine section comprising a turbine operating at an initial turbine output while using initial parameter values for the respective control parameters of the turbine. The techniques involve, for respective selected control parameters, selecting an adjustment of the initial parameter value of the selected control parameter, and predicting a predicted turbine output of the turbine operated using the adjustment of the selected control parameter and the initial parameter values for other control parameters; comparing the predicted turbine outputs for the adjustments of the respective control parameters to select, from the control parameters, a target control parameter having a target adjustment that results in the target turbine output; and operating the turbine with the target adjustment of the target control parameter. | 08-27-2015 |