Abstract
A new algorithm is presented for the design of fixed point finite impulse response (FIR) digital filters that can be realized using a minimal number of adders while satisfying both the desired hardware implementation constraints and the frequency domain design constraints. The proposed algorithm makes use of a two-stage search method with a new soft-switching optimization criterion, minimizing the Chebyshev error norm in a discrete sanonic signed digit (CSD) space. The proposed design method is implemented as a Matlab-based software package (CSDFIR) that allows the design of both Chebyshev optimal floating point and fixed point CSD FIR filters.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 167-169 |
| Number of pages | 3 |
| Journal | IEEE Signal Processing Letters |
| Volume | 8 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2001 |
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics
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