2007
DOI: 10.1049/iet-cds:20060029
|View full text |Cite
|
Sign up to set email alerts
|

Systematic methodology for designing low power direct digital frequency synthesisers

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
8
0

Year Published

2009
2009
2018
2018

Publication Types

Select...
4
2
1

Relationship

1
6

Authors

Journals

citations
Cited by 24 publications
(11 citation statements)
references
References 20 publications
0
8
0
Order By: Relevance
“…sin(x)− g(x)−q(x)), we can reduce more the memory size (reducing amplitude of the samples). This algorithm achieves higher compression levels, regardless of the length of the accumulator being increased (number of N bits) [9].…”
Section: Direct Digital Synthesizer (Dds)mentioning
confidence: 99%
See 1 more Smart Citation
“…sin(x)− g(x)−q(x)), we can reduce more the memory size (reducing amplitude of the samples). This algorithm achieves higher compression levels, regardless of the length of the accumulator being increased (number of N bits) [9].…”
Section: Direct Digital Synthesizer (Dds)mentioning
confidence: 99%
“…This truncation of phase bits introduces spurious signals in the output spectrum of the DDS. In this paper, a technique developed in [9] is adopted for implementing the DDS. This technique exploits certain properties of the existing algorithms and modifies them properly, achieving better compression ratios of ROM.…”
Section: Direct Digital Synthesizer (Dds)mentioning
confidence: 99%
“…And the accuracy and stability is determined by quartz [2]. More vibration-mixing circuits can be used to get a wider frequency range as shown in Figure 1.…”
Section: Direct Analog Synthesismentioning
confidence: 99%
“…It focuses on the improvement of frequency accuracy and compression of memory capacity. It's proved that with the improvement of structure and the introduction of new algorithms, the compression of memory capacity is achieved without damaging the system speed and stability [2,3].…”
Section: Introductionmentioning
confidence: 99%
“…The most critical stage in a DDFS is the PSAC. Many prior works for improving the performance of PSAC include angular decomposition techniques [1,[3][4][5][6], angle rotation methods [7][8][9], polynomial approximations [10][11][12], and sine amplitude compression methods [13][14][15][16]. In the sine amplitude compression methods, they only use linear approximations to decrease a ROM size.…”
Section: Introductionmentioning
confidence: 99%