2010
DOI: 10.1109/lsp.2009.2036384
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Addition Aware Quantization for Low Complexity and High Precision Constant Multiplication

Abstract: Abstract-Multiplication by constants can be efficiently realized using shifts, additions, and subtractions. In this work we consider how to select a fixed-point value for a real valued, rational, or floating-point coefficient to obtain a low-complexity realization. It is shown that the process, denoted addition aware quantization, often can determine coefficients that has as low complexity as the rounded value, but with a smaller approximation error by searching among coefficients with a longer wordlength.

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Cited by 21 publications
(17 citation statements)
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References 18 publications
(30 reference statements)
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“…On the other hand, for the CORDIC algorithm the error is based on the fact that the angle cannot be exactly approximated with a finite sequence of micro-rotation. The results for constant multiplication and scaled constant multiplication have been obtained by applying the addition aware quantization methodology [12]. For the case of the CORDIC, all the possible combinations of micro-rotations have been calculated considering δ i ∈ {−1, 0, 1}, and the sequence of micro-rotations that best approximate the angle has been chosen.…”
Section: Resultsmentioning
confidence: 99%
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“…On the other hand, for the CORDIC algorithm the error is based on the fact that the angle cannot be exactly approximated with a finite sequence of micro-rotation. The results for constant multiplication and scaled constant multiplication have been obtained by applying the addition aware quantization methodology [12]. For the case of the CORDIC, all the possible combinations of micro-rotations have been calculated considering δ i ∈ {−1, 0, 1}, and the sequence of micro-rotations that best approximate the angle has been chosen.…”
Section: Resultsmentioning
confidence: 99%
“…For the constant multiplication cases it is often possible to optimize the error with the same complexity compared with rounding by addition aware quantization [12]. In [12], E additional fractional bits are used to realize that there are exactly 2 E different representable coefficients for which ǫ ≤ 2 −(N +1) , including the one obtained by rounding to N fractional bits.…”
Section: E Addition Aware Quantizationmentioning
confidence: 99%
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“…This twiddle factor multiplication can be implemented with the dedicated constant multiplier of sin . In [15] authors proposed the low complexity in terms of adder with minimum error based on aware quantization method. In the proposed architectures we implement dedicated constant multiplier for W 16 twiddle factor multiplication.…”
Section: A Complexity Of W N Multipliermentioning
confidence: 99%
“…The success of previous approaches is mainly due to an efficient shift-and-add implementation: On the one hand, the techniques used in multiplier-based approaches to implement constant multiplications as shifts and additions are widely developed [6], [28]- [37]. On the other hand, CORDICbased approaches rely on using elementary angles that allow for an efficient shift-and-add implementation.…”
mentioning
confidence: 99%