A New Approach in Fuzzy Adaptive Filtering

2002 ◽  
pp. 277-287
Author(s):  
Seng Kah Phooi ◽  
Man Zhihong ◽  
H. R. Wu
Keyword(s):  
Adaptive Filtering ◽  
New Approach ◽  
Fuzzy Adaptive

PARALLEL, LOCALLY CONNECTED ALGORITHMS FOR NONLINEAR ADAPTIVE FILTERING

1993 ◽  
Vol 04 (01) ◽  
pp. 85-98 ◽  
Author(s):  
HASSAN M. AHMED ◽  
FAWAD RAUF
Keyword(s):  
Adaptive Filtering ◽  
Layered Structure ◽  
Adaptive Filters ◽  
Computationally Efficient ◽  
Local Connectivity ◽  
Linear Filters ◽  
New Approach ◽  
Vlsi Layout ◽  
State Dependent ◽  
Nonlinear Adaptive Filtering

A new adaptive modular realization for nonlinear filters is presented whereby construction is both computationally efficient and readily implemented. The proposed layered structure consists of locally connected, locally adapted linear filters. Modularity and local connectivity make efficient VLSI layout easy and amenable to automation. The layered structure is based on "state dependent embedding", a new approach to the design of series based nonlinear adaptive filters.

Application of Fuzzy Adaptive Kalman Filtering on GPS/INS Integrated Navigation System

2011 ◽  
Vol 317-319 ◽  
pp. 1512-1517
Author(s):  
Ming Wei Liu ◽  
Fen Fen Xiong ◽  
Jin Huang
Keyword(s):  
Kalman Filtering ◽  
Adaptive Filtering ◽  
Navigation System ◽  
Adaptive Controller ◽  
Integrated Navigation ◽  
Noise Levels ◽  
Integrated Navigation System ◽  
Navigation Algorithm ◽  
The Common ◽  
Fuzzy Adaptive

A fuzzy adaptive Kalman filtering navigation algorithm is proposed and further applied to the GPS/INS integrated navigation system in this paper. The common Sage-Husa adaptive filtering algorithm and its drawbacks are elaborated. In order to adjust the Sage-Husa adaptive filter to the optimal state to improve the accuracy of the integrated navigation system, the fuzzy logic adaptive controller is used to adjust the weighting form for the covariance matrix of measurement noise to gradually make it approach to the true noise levels. Simulation results show that the proposed algorithm can not only inhibit the filtering divergence but also improve filtering accuracy.

The Realization of Fuzzy Adaptive Filtering Algorithm

2012 ◽  
Vol 182-183 ◽  
pp. 1733-1737
Author(s):  
Ji Guang Liu ◽  
Hai Yang Wang
Keyword(s):  
Noise Reduction ◽  
Adaptive Filtering ◽  
Experimental Simulation ◽  
Median Filtering ◽  
Filtering Algorithm ◽  
Whole Process ◽  
Actual Use ◽  
The Mean ◽  
Mean Filtering ◽  
Fuzzy Adaptive

This paper introduces a kind of fuzzy adaptive filtering algorithm. The whole process is divided into four steps. Plenty experimental simulation have been made, which has a good results using these methods. On this the premise which the signal detail is not damaged, this filtering algorithm can not only remove pulse but also has a higher capability of noise reduction. It have been verified by actual use and experimental simulation that this filtering algorithm not only has the all advantages of mean filtering and median filtering but can avoid edge blurry of signal, which can’t be realized using the mean filtering and the median filtering under bigger windows .

New approach to fuzzy adaptive equaliser

1995 ◽  
Vol 31 (15) ◽  
pp. 1269-1270
Author(s):  
D.G. Oh ◽  
C.W. Lee ◽  
J.Y. Choi
Keyword(s):  
New Approach ◽  
Fuzzy Adaptive
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