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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chan, S.C. Tsui, K.M. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electr. & Electron. Eng., Hong Kong Univ., China (Chan, S.C.; Tsui, K.M.) |
| Abstract | This paper proposes two novel algorithms for optimizing the hardware resources in finite wordlength implementation of linear time invariant systems. The hardware complexity is measured by the exact internal wordlength used for each intermediate data. The first algorithm formulates the design problem as a constrained optimization, from which an analytic closed-form solution of the internal wordlengths subject to a prescribed output accuracy can be determined by the Lagrange multiplier method. The second algorithm is based on a discrete optimization method called the marginal analysis method, and it yields the desired wordlengths in integer values. Both approaches are found to be very effective and they are well-suited to large scale systems such as software radio receivers. Design examples show that the proposed algorithms offer better results and a lower design complexity than conventional methods. |
| Starting Page | 2607 |
| Ending Page | 2610 |
| File Size | 218690 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780388348 |
| DOI | 10.1109/ISCAS.2005.1465160 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-05-23 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hardware Time invariant systems Algorithm design and analysis Constraint optimization Design optimization Closed-form solution Lagrangian functions Optimization methods Large-scale systems Software radio |
| Content Type | Text |
| Resource Type | Article |
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