Add to ORKGAn apparatus and method for sensor signal prediction and for improving sensor signal response time, is disclosed. An adaptive filter or an artificial neural network is utilized to provide predictive sensor signal output and is further used to reduce sensor response time delay
In this study, an artificial neural network (ANN) structure with tapped time:delays is used for the ...
The paper describes the basic techniques involved on the detection of sensor signal changes, and des...
A signal processing apparatus and concomitant method for learning and using fidelity metric as a con...
A strategy has been developed to computationally accelerate the response time of a generic electroni...
Due to the lack in selectivity and separability of most common chemical sensors, the use of sensor a...
This paper presents an approach for realtime systems, as hybrid testing, active and semiactive contr...
An apparatus for processing a signal for input to a neural network, the apparatus configured to: rec...
A new method for dynamic measurement is presented. A feature extractor and two-layer artificial neur...
The applied chemical sensor research focuses on sensor arrays and signal evaluation methods, to impr...
During the last years the application of Artificial Neural networks (ANN) has proved to be a model i...
A system in accordance with the invention uses an adaptive element to augment a filter for tracking ...
ln this paper the features of neural networks using for improve of measurement accuracy of physical ...
A system for estimating a strain of a component and method of estimating strain is provided. The sys...
Two optimized adaptive digital signal processors were developed to implement the preset time count r...
Two methods developed to improve the classical time constant count rate meters by using the adaptive...
In this study, an artificial neural network (ANN) structure with tapped time:delays is used for the ...
The paper describes the basic techniques involved on the detection of sensor signal changes, and des...
A signal processing apparatus and concomitant method for learning and using fidelity metric as a con...
A strategy has been developed to computationally accelerate the response time of a generic electroni...
Due to the lack in selectivity and separability of most common chemical sensors, the use of sensor a...
This paper presents an approach for realtime systems, as hybrid testing, active and semiactive contr...
An apparatus for processing a signal for input to a neural network, the apparatus configured to: rec...
A new method for dynamic measurement is presented. A feature extractor and two-layer artificial neur...
The applied chemical sensor research focuses on sensor arrays and signal evaluation methods, to impr...
During the last years the application of Artificial Neural networks (ANN) has proved to be a model i...
A system in accordance with the invention uses an adaptive element to augment a filter for tracking ...
ln this paper the features of neural networks using for improve of measurement accuracy of physical ...
A system for estimating a strain of a component and method of estimating strain is provided. The sys...
Two optimized adaptive digital signal processors were developed to implement the preset time count r...
Two methods developed to improve the classical time constant count rate meters by using the adaptive...
In this study, an artificial neural network (ANN) structure with tapped time:delays is used for the ...
The paper describes the basic techniques involved on the detection of sensor signal changes, and des...
A signal processing apparatus and concomitant method for learning and using fidelity metric as a con...