New PDF release: Analog-to-Digital Conversion

By Marcel Pelgrom

ISBN-10: 3319449702

ISBN-13: 9783319449708

ISBN-10: 3319449710

ISBN-13: 9783319449715

This textbook is suitable to be used in graduate-level curricula in analog-to-digital conversion, in addition to for training engineers short of a cutting-edge reference on info converters. It discusses numerous analog-to-digital conversion ideas, together with sampling, quantization, reference iteration, nyquist architectures and sigma-delta modulation. This booklet provides an summary of the cutting-edge during this box and makes a speciality of problems with optimizing accuracy and velocity, whereas lowering the facility level.

This new, 3rd variation emphasizes novel calibration suggestions, the explicit specifications of latest platforms, the results of 22-nm expertise and the necessity for a extra statistical method of accuracy. Pedagogical improvements to this version contain extra, new workouts, solved examples to introduce all key, new recommendations and warnings, comments and tricks, from a practitioner's point of view, at any place applicable. significant heritage details and functional assistance, from designing a PCB, to lay-out facets, to trade-offs on procedure point, supplement the dialogue of simple rules, making this publication a precious reference for the skilled engineer.

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1 mV/2 =120 MHz. After sampling all noise bands higher than fs =2 are folded back to the baseband. In this case the frequency range between DC and 5 MHz will contain 24 uncorrelated noise bands. 1 mV/2 =120 MHz. The total noise after sampling is found from integration of the noise density over the band of 5 MHz, yielding again an effective noise level of: 1 mVrms . What about the noise in the band beyond 5 MHz? The noise density in those bands is equally high and real, but during the reconstruction process no more energy can be retrieved than what is available in one band.

2 is in the bandwidth between 10 and 20 MHz, the samples can be reconstructed to yield the originating 19 MHz time-continuous sine wave. A bandwidth, located in the spectrum at a higher frequency than the sample rate, can therefore also be properly sampled. The sampling operation generates copies around all multiples of the sample rate, including near DC. This is in some communication systems used to down-modulate or down-sample signals, see Sect. 1. 2. A 10 kHz sine wave is distorted with components at 20, 30, 40, and 50 kHz, and sampled with 44 ks/s.

14 Three solutions for sampling a bandwidth between 33 and 39 MHz fs=39 Ms/s 2fs fs fs=13 Ms/s 2fs 3fs Solution. A sampling rate of 78 Ms/s misses the point in the Nyquist criterion, as the bandwidth is only 6 MHz and not 39 MHz. The Nyquist rate is 12 Ms/s so alternatives are shown in Fig. 14. A sample rate of 39 Ms/s will work, but causes a lot of digital power. 5 Ms/s is a viable alternative to 39 Ms/s as it halves the digital power but leaves enough frequency space for alias filtering. And a sample rate of 13 Ms/s which will leave only a 1 MHz frequency range for alias filtering.

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Analog-to-Digital Conversion by Marcel Pelgrom


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