Results 31 to 40 of about 4,986,765 (359)
The existing adaptive Kalman filters for tracking manoeuvring targets by wireless sensor networks can easily lose robustness when both the measurement and process noises are unknown and time‐varying, resulting in large positioning errors.
Xuming Fang, Dandan Huang
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There are many techniques for face recognition which compare the desired face image with a set of faces images stored in a database. Most of these techniques fail if faces images are exposed to high-density noise.
Nada Jasim Habeeb
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On the optimality of subband adaptive filters [PDF]
In this paper, we derive a polyphase analysis to determine the optimum filters in a subband adaptive filter (SAF) system. The structure of this optimum solution deviates from the standard SAF approach and presents its best possible solution only as an ...
Weiss, Stephan +5 more
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Adaptive Federated IMM Filter for AUV Integrated Navigation Systems
High accuracy and reliable navigation in the underwater environment is very critical for the operations of autonomous underwater vehicles (AUVs). This paper proposes an adaptive federated interacting multiple model (IMM) filter, which combines adaptive ...
Weiwei Lyu +2 more
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Adaptive federated filter for multi-sensor nonlinear system with cross-correlated noises.
This paper presents an adaptive approach to the federated filter for multi-sensor nonlinear systems with cross-correlations between process noise and local measurement noise.
Lijun Wang, Sisi Wang, Wenzhi Yang
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Adaptive Filtering Revisited [PDF]
This paper shows that the adaptive filtering and forecasting techniques proposed by Makridakis and Wheelwright can be viewed as approximations to a more precise filtering method in which the Kalman filter is applied to a dynamic autoregressive model which is a special case of the models of Harrison and Stevens.
Nau, Robert F, Oliver, Robert M
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A high throughput adaptive DFE for HIPERLAN [PDF]
This paper describes two methods for increasing the throughput of an adaptive decision feedback equaliser (DFE) using the LMS training algorithm. In the first method, a signed power-of-two number representation is used for the equaliser input data. Using
Nix, AR, Perry, R, Bull, DR
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The increased power of small computers makes the use of parameter estimation methods attractive. Such methods have a number of uses in analytical chemistry. When valid models are available, many methods work well, but when models used in the estimation are in error, most methods fail.
Brown, Steven D., Rutan, Sarah C.
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Design of Near Perfect Reconstruction Oversampled Filter Banks for Subband Adaptive Filters [PDF]
In this brief, a design algorithm for real-valued and complex-valued oversampled filter banks which yield a low level of inband alias and enable simple subband adaptiv structures is presented.
Weiss, Stephan +4 more
core +1 more source
A motion artefact is a kind of noise that exists widely in wearable electrocardiogram (ECG) monitoring. Reducing motion artefact is challenging in ECG signal preprocessing because the spectrum of motion artefact usually overlaps with the very important ...
Xiang An, George K. Stylios
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