Title
Optimal Fir Filters With Almost Linear Phase
Abstract
FIR filters are known to be stable and have a linear phase when symmetry properties. e.g., h[n] = h[M-n], are kept. A common FIR filter design method is the Parks-McClellan algorithm. In this algorithm, linear phase FIR filters which are optimal in the minimax sense, are designed. Theses filters have the form of H(omega) = A(omega)e(j(beta-omegaalpha)), where A(omega) is real, alpha is an integer or an integer plus 1/2 and beta is 0 or pi/2. These FIR filters are always symmetric: or antisymmetric. We introduce a simple procedure for designing Almost Linear Phase FIR filters, having a similar form of H(omega) but an arbitrary a, that are optimal in a similar sense.
Year
DOI
Venue
2003
10.1109/ICASSP.2003.1201603
2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL VI, PROCEEDINGS: SIGNAL PROCESSING THEORY AND METHODS
Keywords
Field
DocType
fir filters,algorithm design and analysis,low pass filters,chebyshev approximation,passband,finite impulse response filter,design method,discrete time fourier transform,linear phase,fir filter
Integer,Linear phase,Mathematical optimization,Minimax,Prototype filter,Network synthesis filters,Antisymmetric relation,Omega,Finite impulse response,Mathematics
Conference
Citations 
PageRank 
References 
3
0.57
0
Authors
1
Name
Order
Citations
PageRank
Daniel Seidner130.91