2005
DOI: 10.1109/tcsii.2005.848956
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Low-error carry-free fixed-width multipliers with low-cost compensation circuits

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Cited by 45 publications
(45 citation statements)
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“…18-µm CMOS standard cell library. It is seen from the synthesis results shown in Table 4 that the proposed truncated MBE multiplier occupies less silicon area compared to existing designs [7,8,11,12] and [13]. This is due to "non-generation" scheme used in the proposed algorithm, which reduces significant number of full adders and half adders used in partial product reduction.…”
Section: Resultsmentioning
confidence: 96%
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“…18-µm CMOS standard cell library. It is seen from the synthesis results shown in Table 4 that the proposed truncated MBE multiplier occupies less silicon area compared to existing designs [7,8,11,12] and [13]. This is due to "non-generation" scheme used in the proposed algorithm, which reduces significant number of full adders and half adders used in partial product reduction.…”
Section: Resultsmentioning
confidence: 96%
“…The proposed truncated MBE multiplier and the FW multipliers used for comparison viz., Jou et al [7], Cho et al [8], Jiung and Hsiao [11], Van and Yang [12] and Wang et al [13] designs are described using structural VHDL to produce gate-level netlist and synthesized using Synopsys Design Compiler with TSMC. 18-µm CMOS standard cell library.…”
Section: Resultsmentioning
confidence: 99%
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“…The main disadvantage of this multiplier is circuit complexity is more. The Baugh Wooley multiplier is an efficient technique to handle the signed bit multiplication [6]. The Baugh Wooley technique is designed to direct multiplication of 2's complement numbers.…”
Section: Literature Surveymentioning
confidence: 99%
“…In order to further diminish the error, some schemes have been proposed where, instead of approximating the value of the partial products in LPminor by a constant, it is expressed as a function of the partial products in LPmajoor [4] gives an ECV for a modified Booth encoded PPA, where each line of partial products in LPminor is estimated as a multiple of the corresponding partial product in LPmajor (k = 1). This results in a data-dependent ECV.…”
Section: Introductionmentioning
confidence: 99%