Title : 
FSF (frequency sampling filter) bank for adaptive system identification
         
        
            Author : 
Kiya, Hitoshi ; Yamaguchi, Satoshi
         
        
            Author_Institution : 
Fac. of Technol., Tokyo Metropolitan Univ., Japan
         
        
        
        
        
        
            Abstract : 
Some researchers have explored the use of filter banks to improve the performance of adaptive algorithms. However, some of these approaches have shown degradation in performance. A new class of filter bank (ideal orthogonal filter bank) is defined, which enables one to avoid the degradation, even if one chooses critical subsampling in adaptive filtering. A filter bank (pseudo OFB) whose frequency response is the same as that of the ideal OFB at discrete frequency points is proposed. As a result, using the proposed filter bank, one can identify an unknown system at the discrete frequency points
         
        
            Keywords : 
adaptive filters; digital filters; filtering and prediction theory; identification; FSF bank; adaptive system identification; frequency sampling filter bank; ideal orthogonal filter bank; pseudo OFB; Adaptive filters; Adaptive systems; Cities and towns; Degradation; Filter bank; Frequency; Sampling methods; State feedback; System identification; Time invariant systems;
         
        
        
        
            Conference_Titel : 
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
         
        
            Conference_Location : 
San Francisco, CA
         
        
        
            Print_ISBN : 
0-7803-0532-9
         
        
        
            DOI : 
10.1109/ICASSP.1992.226436