Results 251 to 260 of about 171,090 (289)

Robust set-membership filtering algorithms against impulsive noise

2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
In this paper, we propose robust set-membership filtering algorithms against impulsive noise. Firstly, we introduce set-membership normalized least absolute difference algorithm (SM-NLAD). This algorithm provides robustness against impulsive noise through pricing the absolute error instead of the square. Then, in order to achieve comparable convergence
Muhammed O. Sayin, N. Denizcan Vanli, Suleyman S. Kozat   +2 more
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Pipelined set-membership approach to adaptive Volterra filtering

Signal Processing, 2016
Due to the high computational complexity required by Volterra filter, some of its practical implementations consider pipelined adaptive Volterra filter architecture with two layers structure. However, its main challenges are the poor robustness against impulsive noise, slow convergence and high computational complexity for long memory high order ...
Sheng Zhang, Jiashu Zhang, Yanjie Pang
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Kernelized Set-Membership Approach to Nonlinear Adaptive Filtering

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
In linear filtering, the set-membership normalized least mean squares (SM-NLMS) algorithm has been shown to exhibit desirable features of selective update and optimized variable step size. In this paper, a kernel approach to the SM-NLMS algorithm is presented that makes it feasible to address nonlinear problems. An online greedy approximation technique
null Amaresh Malipatil, null Yih-Fang Huang, null Srinivas Andra, null Kristin Bennett   +3 more
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Particle Filters for Set-membership State Estimation

2006 SICE-ICASE International Joint Conference, 2006
This paper proposes a new way of using particle filters for set-membership state estimation problems. For nonlinear state estimation problems, stochastic particle filters have been proposed which maintain a large number of solution candidates by using Monte-Carlo simulation. Set-membership approach for state estimation is an alternative method that is,
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Frequency-domain adaptive filtering -a set-membership approach

The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003, 2004
Frequency-domain adaptive filtering has been shown to have the advantage of low complexity compared to its time-domain counterpart In this paper, a frequency-domain Set-Membership Normalized Least-Mean-Square (F-SM-NLMS) algorithm is derived, and shown to have better performance (in terms of convergence and bit error rate (BER)) and less updates than ...
null Li Guo, A. Ekpenyong, null Yih-Fang Huang   +2 more
openaire   +1 more source

Set-Membership Adaptive Filtering

2003
Based on a bounded-error assumption, set-membership adaptive filtering (SMAF) offers a viable alternative to traditional adaptive filtering techniques that are aimed to minimize an ensemble (or a time) average of the errors. This chapter presents an overview of the principles of SMAF, its features, and some applications. Highlighting the novel features
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Set-Membership Adaptive Filtering

2019
The families of adaptive filtering algorithms introduced so far present a trade-off between the speed of convergence and the misadjustment after the transient. These characteristics are easily observable in stationary environments. In general fast-converging algorithms tend to be very dynamic, a feature not necessarily advantageous after convergence in
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The filter design from data (FD2) problem: Nonlinear Set Membership approach

Automatica, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
MILANESE, Mario, NOVARA, Carlo, K. HSU, K. POOLLA   +3 more
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Design of Interval Set-Membership Based Fault Detection Filter

2021
where, \(x_k \in \mathbb {R}^n\) is the state vector of the system, \(u_k \in \mathbb {R}^p\) and \(y_k \in \mathbb {R}^q\) are the input and output vector of the system, respectively, \(w_k \in \mathbb {R}^s\) and \(v_k\in \mathbb {R}^l\) are unknown but bounded disturbance and noise, respectively, \(f_k \in \mathbb {R}^m\) is actuator fault of any ...
Ziyun Wang, Yan Wang, Zhicheng Ji
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Indoor localization with incomplete observation using set-membership filter

2015 International Symposium on Micro-NanoMechatronics and Human Science (MHS), 2015
Indoor localization is a popular topic because of the poor performance of GPS in the indoor environment. This paper has provided a new method to achieve the goal of indoor localization. Combining the usage of posture sensors with the Radio Frequency Identification (RFID) technology, we solved the problem of plentiful tags in the traditional RFID indoor
Yuan Wang, Jian Huang
openaire   +1 more source