Abstract | ||
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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 |
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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 |
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Daniel Seidner | 1 | 3 | 0.91 |