Title
Design and characterization of optimal FIR filters with arbitrary phase
Abstract
An algorithm for designing a Chebyshev optimal FIR filter that approximates an arbitrary complex-valued frequency response is presented. This algorithm computes the optimal filter by solving the dual to the filter design problem. It is guaranteed to converge theoretically and requires O(N2) computations per iteration for a filter of length N. For the first time, properties of the optimal filter are derived, and the case where the desired filter has arbitrary constant group delay is studied in detail
Year
DOI
Venue
1993
10.1109/78.193198
Signal Processing, IEEE Transactions  
Keywords
Field
DocType
computational complexity,convergence of numerical methods,digital filters,filtering and prediction theory,Chebyshev optimal FIR filter,O(N2) computations per iteration,arbitrary complex-valued frequency,arbitrary constant group delay,convergence,filter design problem dual,filter length,optimal filter properties
Mathematical optimization,Control theory,Prototype filter,Low-pass filter,Adaptive filter,Kernel adaptive filter,All-pass filter,Parks–McClellan filter design algorithm,Mathematics,Filter design,Butterworth filter
Journal
Volume
Issue
ISSN
41
2
1053-587X
Citations 
PageRank 
References 
24
2.32
3
Authors
3
Name
Order
Citations
PageRank
Alkhairy, A.S.1242.32
Christian, K.G.2242.32
Lim, J.S.312772.56