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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kyungtae Han Evans, B.L. |
| Copyright Year | 2004 |
| Description | Author affiliation: Embedded Signal Process. Lab., Texas Univ., Austin, TX, USA (Kyungtae Han; Evans, B.L.) |
| Abstract | Many digital signal processing algorithms are first developed in floating point and later mapped into fixed point for digital hardware implementation. During this mapping, wordlengths are searched to minimize total hardware cost and maximize system performance. Complexity and distortion measures have been separately researched for optimum wordlength selection. This paper proposes a complexity-and-distortion measure (CDM) method that combines these two measures. The CDM method trades off these two measures using a weighting factor. The proposed method is applied to wordlength design of a fixed broadband wireless demodulator. For this case study, the proposed method finds the optimal solution in one-third the time that exhaustive search takes. The contributions of this paper are: (1) a generalization of search methods based on complexity or distortion measures; (2) a framework of automatic wordlength optimization; and (3) a wireless demodulator case study. |
| File Size | 258857 |
| File Format | |
| ISBN | 0780384849 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2004.1327041 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-05-17 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Design optimization Demodulation Distortion measurement Hardware Digital signal processing Signal processing algorithms Costs System performance Weight measurement Search methods |
| Content Type | Text |
| Resource Type | Article |
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