DocumentCode :
2311334
Title :
The implementation of an efficient and high-speed inner-product processor
Author :
Wang, Guoping ; Tull, Monte
Author_Institution :
Sch. of Electr. & Comput. Eng., Oklahoma Univ., Norman, OK, USA
Volume :
2
fYear :
2001
fDate :
4-7 Nov. 2001
Firstpage :
1362
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.
Keywords :
VLSI; digital arithmetic; digital signal processing chips; encoding; field programmable gate arrays; integrated circuit design; logic design; pipeline processing; DSP processor; FPGA-based processor; VLSI; complex number arithmetic; convolution; correlation; digital filters; digital signal processing; fixed-point processor; image processing; inner-product processor; modified Booth encoding; multiplier addition depth; partial products; pipeline extension; redundant binary number system; Convolution; Digital arithmetic; Digital filters; Digital signal processing; Image coding; Image processing; Pipelines; Signal design; Signal processing; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-7147-X
Type :
conf
DOI :
10.1109/ACSSC.2001.987714
Filename :
987714
Link To Document :
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