Envelope-constrained filtering is concerned with the design of a time-invariant filter to process a given input signal such that the noiseless output of the filter is guaranteed to lie within a prespecified output mask. In this paper, using Laguerre filters and H∞ optimization techniques, the continuous-time envelope-constrained filter design problem has been reformulated and solved as a constrained H∞ model-matching problem. To illustrate the effectiveness of the design method, a numerical example is presented which deals with the design of an equalization filter for a digital transmission channel.
|Number of pages||4|
|Journal||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|
|Publication status||Published - 1 Jan 1997|
|Event||1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1997 - Munich, Germany|
Duration: 21 Apr 1997 → 24 Apr 1997