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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guoping Wang Tull, M. |
| Copyright Year | 2001 |
| Description | Author affiliation: Sch. of Electr. & Comput. Eng., Oklahoma Univ., Norman, OK, USA (Guoping Wang) |
| Abstract | A novel, high-performance fixed-point inner-product processor based on a redundant binary number system is presented. The proposed scheme decreases the number of partial products to 50%, compared to other methods, while achieving better speed and area performance and providing pipeline extension opportunities. When modified Booth encoding is used, partial products are reduced by almost 75%, thereby significantly reducing the multiplier addition depth. The design is applicable for digital signal and image processing applications that require inner-product arithmetic, such as digital filters, correlation and convolution. The proposed design is well suited for VLSI implementation, and it can also be embedded as an inner-product core inside a DSP processor or FPGA-based processor. |
| Starting Page | 1362 |
| Ending Page | 1366 |
| File Size | 354579 |
| Page Count | 5 |
| File Format | |
| ISBN | 078037147X |
| ISSN | 10586393 |
| DOI | 10.1109/ACSSC.2001.987714 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-11-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pipelines Image coding Signal design Signal processing Image processing Digital arithmetic Digital filters Convolution Very large scale integration Digital signal processing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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