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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jaccottet, D. Costa, E. Aksoy, L. Flores, P. Monteiro, J. |
| Copyright Year | 2010 |
| Description | Author affiliation: INESC-ID/IST TU Lisbon, Portugal (Flores, P.; Monteiro, J.) || Universidade Catolica de Pelotas, RS, Brazil (Jaccottet, D.; Costa, E.) || INESC-ID, Lisbon, Portugal (Aksoy, L.) |
| Abstract | In this paper, we introduce a design methodology to implement low-complexity and high-speed digital Finite Impulse Response (FIR) filters. Since FIR filters suffer from a large number of constant multiplications, in the proposed method the constant multiplications are replaced by addition/subtraction and shift operations. Also, based on the design objective, i.e., low-complexity or high-speed, the addition/subtraction operations are implemented using Ripple Carry Adder (RCA) or Carry-Save Adder (CSA) architectures respectively. Furthermore, high-level algorithms designed for the optimization of the number of RCA and CSA blocks are used to reduce the complexity of the FIR filter. Thus, a Computer-Aided Design (CAD) tool that synthesizes low-complexity and high-speed FIR filters in a shift-adds architecture is developed. It is observed from the experimental results on FIR filter instances that the developed CAD tool can find better FIR filter designs in terms of area and delay than those obtained using efficient general multipliers. |
| Starting Page | 292 |
| Ending Page | 297 |
| File Size | 241570 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424464692 |
| e-ISBN | 9781424464715 |
| DOI | 10.1109/VLSISOC.2010.5642676 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-27 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Logic gates Finite impulse response filter Approximation algorithms Delay Adders Optimization |
| Content Type | Text |
| Resource Type | Article |
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