ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483)
DOI: 10.1109/icecs.2001.957664
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A hardware efficient direct digital frequency synthesizer

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Cited by 29 publications
(6 citation statements)
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“…The errors corresponding to the approximations in left and right terms of (6) are given respectively by (7) M must be chosen by considering the amplitude resolution, i.e. the number of bits (Q) which is used for quantizing a sine sample.…”
Section: Proposed Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…The errors corresponding to the approximations in left and right terms of (6) are given respectively by (7) M must be chosen by considering the amplitude resolution, i.e. the number of bits (Q) which is used for quantizing a sine sample.…”
Section: Proposed Algorithmmentioning
confidence: 99%
“…Hence, many ROM compression techniques to reduce the storage requirements have been proposed. Architectures based on trigonometric approximation which use the trigonometric identities of the sine function have been proposed to reduce the number of phase bits (w) addressing the ROM [5]- [7] and will be described briefly in the section 2. Linear and Polynomial interpolation architectures have been employed for high-performance DDFS as well [8]- [10].…”
Section: Introductionmentioning
confidence: 99%
“…Based on the stored sample 'sin(x)' and the slope 'sin(π/2-x)', the sine value of object phase 'x+delta' can be calculated according to (1). We also observe that the slope does not need to be stored, because the slope of one sample 'sin(x)' is just the value of another sample 'sin(π/2-x)' if samples are evenly distributed in phase range of 0~π/2.…”
Section: Basic Idea 21 Algorithmmentioning
confidence: 99%
“…Bellaouar proposes the architecture based on linear interpolation where the ROM size increases in proportional with inverse square root of the SFDR [5]. Using the sine-phase difference Niittylahti et al [6] proposes ROM reduced architecture for the DDFS. Another work by F. Babak et al [7] compressed the ROM size by 551.3:1 using trigonometric approximation with a scaling block.…”
Section: Introductionmentioning
confidence: 99%