Envelope-constrained filtering problem is concerned with the design of a time-invariant filter to process a given input signal such that the output of the filter is guaranteed to lie within a prespecified output mask. In this paper, using discrete-time Laguerre functions and H ∞ optimization techniques, the envelope-constrained IIR filter design problem has been reformulated and solved as an H ∞ model matching problem. To illustrate the usefulness of the design method, a numerical example is presented which is concerned with the design of an equalization filter for a digital transmission channel.
|Number of pages||4|
|Publication status||Published - 1 Dec 1996|
|Event||Proceedings of the 1996 3rd International Conference on Signal Processing, ICSP'96. Part 1 (of 2) - Beijing, China|
Duration: 14 Oct 1996 → 18 Oct 1996
|Conference||Proceedings of the 1996 3rd International Conference on Signal Processing, ICSP'96. Part 1 (of 2)|
|Period||14/10/96 → 18/10/96|