Download PDF by George I. Bourdopoulos, Aristodemos Pnevmatikakis, Vassilis: Delta-Sigma Modulators: Modeling, Design and Applications
By George I. Bourdopoulos, Aristodemos Pnevmatikakis, Vassilis Anastassopoulos, Theodore L. Deliyannis
Facing the modelling and layout of higher-order single-stage delta-sigma modulators, this ebook presents an outline of the architectures, the quantizer versions, the layout recommendations and the implementation concerns encountered within the learn of the delta-sigma modulators. a couple of purposes are mentioned, with emphasis on use within the layout of analog-to-digital converters and in frequency synthesis. The booklet is schooling instead of research-oriented, containing numerical examples and unsolved difficulties. it's geared toward introducing the final-year undergraduate, the graduate scholar or the digital engineer to this box.
Read or Download Delta-Sigma Modulators: Modeling, Design and Applications PDF
Similar design books
It's not only you. each structure pupil is at the start burdened by means of structure university - an schooling so assorted that it doesn't evaluate to anything. A student’s pleasure at being selected in stiff pageant with many different candidates can flip to doubt whilst she or he struggles to appreciate the common sense of the categorical instructing approach.
Eurocode 2 is the major record for destiny structural layout in concrete all through Europe. to exploit the code successfully, structural engineers desire a variety of aids within the kind of move charts, layout charts and simplified techniques. This ebook offers these kinds of, and is written with the authority of collaborative paintings through individuals of the Concrete Societies of the united kingdom, the Netherlands and Germany.
The ebook specializes in using inelastic research tools for the seismic evaluation and layout of bridges, for which the paintings conducted to date, albeit attention-grabbing and necessary, is however essentially lower than that for constructions. even if a few invaluable literature at the topic is at the moment to be had, the main complicated inelastic research tools that emerged over the last decade are at the moment stumbled on in simple terms within the specialized research-oriented literature, equivalent to technical journals and convention court cases.
- Design Criteria for Low Distortion in Feedback Op-Amp Circuits
- Runtime Reconfiguration in Networked Embedded Systems: Design and Testing Practices
- Building Sustainable Futures: Design and the Built Environment
- Complex Systems Design & Management: Proceedings of the Third International Conference on Complex Systems Design & Management CSD&M 2012
Additional resources for Delta-Sigma Modulators: Modeling, Design and Applications
LL'iil s nil a. M a. tmfi ilff'1 ipf 'f' '! 02 Normalizedfrequency(f,=1) (b) Fig. 5 Second-order AI modulator with sinusoidal input and OSR 64. a. SNR as a function of input power (dBm). 5 dB is obtained for 6 dBm input. 3 dB. b. Power spectral density of the output signal for low frequencies and for 6 dBm input. The noise no longer forms tones. 5 51 Higher-Order AS Modulators The advantages of extending the order of the AS modulator from first to second have been demonstrated in the previous section.
4 Power spectral density of the output signal of the first-order AI modulator for low frequencies and for an 8 dBm sinusoidal input. The input frequency is: a. 7656 • 10^, b. 7534 • 10"4 and c. 6451 • 10-4 of the sampling frequency. 3 AS Modulators Comparison of Delta and AS Modulators The performance comparison of the DM, with that of the AE modulator is done by determining the maximum value of SNR, SNRmax, for each case. 10) Linear DM In order to determine the signal power Ps we assume that the DM is not slope overloaded.
23 Analog to Digital Conversion Consequently, the quantization error can be regarded as an independent additive white noise source. The quantization noise affects the quality of the signal. e. 6) SQNR = Quantization Noise Power xq(n) x(n) x(n) / ^ Xq(n)=x(n)+e(n) Quantizer Linear model of the Quantizer Fig. 9 The linear model for the quantizer. The quantization error is considered to be an additive noise source. For an input signal, which is large compared to the quantization step A , the error term e(n) is a random quantity uniformly distributed in the interval (-A/2, A/2).
Delta-Sigma Modulators: Modeling, Design and Applications by George I. Bourdopoulos, Aristodemos Pnevmatikakis, Vassilis Anastassopoulos, Theodore L. Deliyannis