scholarly journals Existence of Local Analytic Solutions for Systems of Difference Equations with Small Step Size

2005 ◽  
Vol 48 (2) ◽  
pp. 313-330
Author(s):  
Abir El-Rabih
Keyword(s):  
Difference Equations ◽  
Analytic Solutions ◽  
Small Step ◽  
Step Size ◽  
Small Step Size

scholarly journals The RSC Chromatin Remodeling ATPase can Translocate DNA with High Force and Small Step Size

2011 ◽  
Vol 100 (3) ◽  
pp. 354a
Author(s):  
George Sirinakis ◽  
Cedric R. Clapier ◽  
Ying Gao ◽  
Ramya Viswanathan ◽  
Bradley R. Cairns ◽  
...  
Keyword(s):  
Chromatin Remodeling ◽  
Small Step ◽  
Step Size ◽  
Small Step Size

scholarly journals The RSC chromatin remodelling ATPase translocates DNA with high force and small step size

2011 ◽  
Vol 30 (12) ◽  
pp. 2364-2372 ◽  
Author(s):  
George Sirinakis ◽  
Cedric R Clapier ◽  
Ying Gao ◽  
Ramya Viswanathan ◽  
Bradley R Cairns ◽  
...  
Keyword(s):  
Chromatin Remodelling ◽  
Small Step ◽  
Step Size ◽  
Small Step Size

Output statistics of a line enhancer based on a combination of two adaptive filters

2011 ◽  
Vol 1 (3) ◽  
Author(s):  
Trump Tõnu
Keyword(s):  
Steady State ◽  
Adaptive Filters ◽  
Wiener Filter ◽  
Small Step ◽  
Step Size ◽  
Second Order Statistics ◽  
Adaptive Combination ◽  
Small Step Size ◽  
Adaptive Line Enhancer ◽  
Affine Combination

AbstractThis paper studies output statistics of an adaptive line enhancer that is based on an affine combination of two NLMS adaptive filters. Combination of adaptive filters is a new interesting way of improving the performance of adaptive algorithms. The structure consists of two adaptive filters that adapt on the same input signal, one with a large and the other one with a small step size. Such a combination is capable of achieving fast initial convergence and small steady state error at the same time. In this paper we investigate the second order statistics of the output signal of adaptive line enhancer based on the combination in steady state. The result is given in terms of the parameters of the adaptive combination, input process statistics, and the optimal Wiener filter weights for the problem at hands.

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