A method for applying Kalman filtering to speechsignals corrupted by colored noise is presented. Both speech and colored noise are modeled as autoregressive (AR) processesusing speechand silence regions determined by an automatic end-point detector. Due to the non-stationary nature of the speech signal, non-stationary Kalman filter is used. Experiments indicate that non-stationary Kalman filter...

BACKGROUND As a continuation of our earlier work, we present in this study a Kalman filtering based algorithm for the elimination of motion artifacts present in Near Infrared spectroscopy (NIR) measurements. Functional NIR measurements suffer from head motion especially in real world applications where movement cannot be restricted such as studies involving pilots, children, etc. Since head mov...

This paper presents a core approach to design and develop a real-time based Vehicle Tracking System using Kalman filter. It is used to determine the current location of a target device in terms of UTC time , Data status, latitude, longitude, UTC date, Speed over ground in knots, Magnetic variation ,Mode indicators and Checksum information by utilizing the sms features of GSM technology. An atte...

This paper presents a core approach to design and develop a real-time based Vehicle Tracking System using Kalman filter. It is used to determine the current location of a target device in terms of UTC time , Data status, latitude, longitude, UTC date, Speed over ground in knots, Magnetic variation ,Mode indicators and Checksum information by utilizing the sms features of GSM technology. An atte...

In Bio-medical engineering, Electrocardiograph (ECG) has a key importance to diagnose the heart diseases. While acquiring the ECG signal, an Electroencephalography (EEG) interferes the desired ECG signal, due to which the true information can not be retrieved. In this paper, the modified Iterative Version of Adaptive kalman and Recursive Least Square (RLS) Adaptive Filtering algorithms are used...

In practice, many estimation problems rely on on-line solutions, hence recusive methods are necessary. Tradition estimation approaches for linear systems subject to Gaussian noise are based on the Kalman filter and its improving algorithms. Based on the realization construction of state prediction and measurement update, Kalman filter can obtain the optimal estimation of state under the linear ...

Background. Seasonal influenza can cause severe health problems and significant economic burdens in various regions of the world. In addition to the substantial morbidity and mortality cases caused by influenza, the emergency department crowding is also partially attributed to the influenza patients. Forecasting the influenza trends is crucial in developing effective countermeasures to mitigate...