scholarly journals Steady-State Performance Analyses of Adaptive Filters

10.5772/16905 ◽  
2011 ◽  
Author(s):  
Bin Lin ◽  
Rongxi He
Keyword(s):  
Steady State ◽  
Adaptive Filters ◽  
Performance Analyses ◽  
Steady State Performance

Steady-State Performance of Spline Adaptive Filters

2016 ◽  
Vol 64 (4) ◽  
pp. 816-828 ◽  
Author(s):  
Michele Scarpiniti ◽  
Danilo Comminiello ◽  
Gaetano Scarano ◽  
Raffaele Parisi ◽  
Aurelio Uncini
Keyword(s):  
Steady State ◽  
Adaptive Filters ◽  
Steady State Performance

scholarly journals Newtonian-Type Adaptive Filtering Based on the Maximum Correntropy Criterion

Entropy ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 922
Author(s):  
Pengcheng Yue ◽  
Hua Qu ◽  
Jihong Zhao ◽  
Meng Wang
Keyword(s):  
Steady State ◽  
Adaptive Filtering ◽  
Adaptive Filters ◽  
Impulsive Noise ◽  
Minimum Mean Square Error ◽  
Gradient Descent Method ◽  
Type Method ◽  
Newtonian Type ◽  
Maximum Correntropy Criterion ◽  
Steady State Performance

This paper provides a novel Newtonian-type optimization method for robust adaptive filtering inspired by information theory learning. With the traditional minimum mean square error (MMSE) criterion replaced by criteria like the maximum correntropy criterion (MCC) or generalized maximum correntropy criterion (GMCC), adaptive filters assign less emphasis on the outlier data, thus become more robust against impulsive noises. The optimization methods adopted in current MCC-based LMS-type and RLS-type adaptive filters are gradient descent method and fixed point iteration, respectively. However, in this paper, a Newtonian-type method is introduced as a novel method for enhancing the existing body of knowledge of MCC-based adaptive filtering and providing a fast convergence rate. Theoretical analysis of the steady-state performance of the algorithm is carried out and verified by simulations. The experimental results show that, compared to the conventional MCC adaptive filter, the MCC-based Newtonian-type method converges faster and still maintains a good steady-state performance under impulsive noise. The practicability of the algorithm is also verified in the experiment of acoustic echo cancellation.

Steady-state performance limitations of subband adaptive filters

2001 ◽  
Vol 49 (9) ◽  
pp. 1982-1991 ◽  
Author(s):  
S. Weiss ◽  
A. Stenger ◽  
R.W. Stewart ◽  
R. Rabenstein
Keyword(s):  
Steady State ◽  
Adaptive Filters ◽  
Performance Limitations ◽  
Steady State Performance

Quasi-steady-state performance of a heat pipe subjected to transient acceleration loadings

10.2514/3.895 ◽  
1997 ◽  
Vol 11 ◽  
pp. 306-309 ◽  
Author(s):  
Edwin H. Olmstead ◽  
Edward S. Taylor ◽  
Meng Wang ◽  
Parviz Moin ◽  
Scott K. Thomas ◽  
...  
Keyword(s):  
Steady State ◽  
Heat Pipe ◽  
Quasi Steady State ◽  
Steady State Performance
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