2004
DOI: 10.1109/9780470546772
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Understanding Delta-Sigma Data Converters

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Cited by 824 publications
(921 citation statements)
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“…To avoid spectral leakage the signal frequency is chosen to fit one FFT bin. The discrepancy between the spectrum expected from (4-5) and the simulated spectrum can be attributed to the linear scaling effect of the quantizer gain and the randomness of the quantization noise [5,Ch. 4.2].…”
Section: Stimuli Encoding and Dynamic Rangementioning
confidence: 79%
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“…To avoid spectral leakage the signal frequency is chosen to fit one FFT bin. The discrepancy between the spectrum expected from (4-5) and the simulated spectrum can be attributed to the linear scaling effect of the quantizer gain and the randomness of the quantization noise [5,Ch. 4.2].…”
Section: Stimuli Encoding and Dynamic Rangementioning
confidence: 79%
“…If it is software generated its whole noise is the quantization noise. For the generic model of L-th order modulator the discrete noise transfer function is given by [5]:…”
Section: Stimuli Encoding and Dynamic Rangementioning
confidence: 99%
“…DPWM base on sigma-delta modulator consists of a low-resolution low-power DPWM capable of operating at high switching frequencies and a sigma-delta modulator, which improves effective resolution of the core DPWM. The sigma-delta operation is based on the well known noise-shaping concept widely used in analog-to-digital and digital-to-analog converters [8]- [12]. Over several switching cycles, the modulator varies the low-resolution input of the core DPWM, between few possible values to achieve a high-resolution average duty ratio value.…”
Section: A Sigma-delta Modulatormentioning
confidence: 99%
“…3, it consists of a low-resolution DPWM (Quantizer), a delay block, and two adders. second order sigma delta controller was selected which is inherently stable [8]. The coefficients (a 1 , a 2 , a 3 and a 4 ) are calculated by using toolbox of Schreier [8].…”
Section: A Sigma-delta Modulatormentioning
confidence: 99%
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