2011
DOI: 10.1109/tvlsi.2009.2032289
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High-Accuracy Fixed-Width Modified Booth Multipliers for Lossy Applications

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Cited by 114 publications
(83 citation statements)
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“…Finally, the approximate multipliers are applied to the design of a low-pass FIR filter and they show better performance than other approximate Booth multipliers. Jiun-Ping Wang et al [3] This paper presents the design of high-accuracy fixed-width modified Booth multipliers. To reduce the truncation error, firstly slightly modify the partial product matrix of Booth multiplication and then derive an effective error compensation function that makes the error distribution be more symmetric to and centralized in the error equal to zero, leading the fixed-width modified Booth multiplier to very small mean and mean-square errors.In addition, a simple compensation circuit mainly composed of the simplified sorting network is also proposed.…”
Section: Honglan Jiang Et Al [2]mentioning
confidence: 99%
“…Finally, the approximate multipliers are applied to the design of a low-pass FIR filter and they show better performance than other approximate Booth multipliers. Jiun-Ping Wang et al [3] This paper presents the design of high-accuracy fixed-width modified Booth multipliers. To reduce the truncation error, firstly slightly modify the partial product matrix of Booth multiplication and then derive an effective error compensation function that makes the error distribution be more symmetric to and centralized in the error equal to zero, leading the fixed-width modified Booth multiplier to very small mean and mean-square errors.In addition, a simple compensation circuit mainly composed of the simplified sorting network is also proposed.…”
Section: Honglan Jiang Et Al [2]mentioning
confidence: 99%
“…A self-compensation approach [3] using conditional mean method is presented to reduce the hardware complexity. In [4] and [5], by taking more information provided by Booth encoder, the compensation bias can reduce the truncation error with the huge area penalty. Besides, Song et al present binary threshold and more partial products for error compensation bias to reduce truncation error [6], and the hardware cost is increased, too.…”
Section: Introductionmentioning
confidence: 99%
“…Optimizing multiplier has attracted strong attention from researchers over the time. There are many implementation techniques that have been proposed such as Booth encoder [1], Wallace tree adder [2], Dadda tree adder [3], Cary-save adder [4], array multiplier [5], Modified Booth Encoder [6], etc. Generally, a multiplier implementation can be divided into three steps as can be seen in Fig.…”
Section: Introductionmentioning
confidence: 99%