Name
Abstract | ||
|---|---|---|
This correspondence outlines a method for designing two-stage Nyquist filters. The Nyquist filter is split into two equal and linear-phase finite-length impulse response spectral factors. The per-time-unit multiplicative complexity, of the overall structure, is included as the objective function. Examples are then provided where Nyquist filters are designed so as to minimize the multiplicative complexity subject to the constraints on the overall Nyquist filter. In comparison to the single-stage case, the two-stage realization reduces the multiplicative complexity by an average of 48%. For two-stage sampling rate conversion (SRC), the correspondence shows that it is better to have a larger SRC ratio in the first stage. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TSP.2011.2169062 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
overall structure,nyquist filter,larger src ratio,per-time-unit multiplicative complexity,multiplicative complexity,two-stage nyquist filter,multiplicative complexity subject,two-stage realization,two-stage nyquist pulse shaping,two-stage sampling rate conversion,overall nyquist filter,pulse shaping,finite impulse response,materials,objective function,finite impulse response filter,spectral factorization,linear phase,impulse response,interpolation,passband,fir filters | Anti-aliasing filter,Oversampling,Impulse invariance,Nyquist frequency,Control theory,Nyquist stability criterion,Nyquist ISI criterion,Nyquist rate,Mathematics,Nyquist filter | Journal |
Volume | Issue | ISSN |
60 | 1 | 1053-587X |
Citations | PageRank | References |
6 | 0.59 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Eghbali | 1 | 70 | 9.07 |
| Tapio Saramaki | 2 | 206 | 28.51 |
| Håkan Johansson | 3 | 505 | 65.36 |