Skip to content

Download Background Calibration of Time-Interleaved Data Converters by Manar El-Chammas, Boris Murmann PDF

By Manar El-Chammas, Boris Murmann

This booklet describes strategies for time-interleaving a couple of analog-to-digital facts converters to accomplish tough bandwidth specifications. Readers will enjoy the presentation of a low-power answer that may be utilized in real items, whereas assuaging the time-varying sign artifacts that sometimes come up while enforcing any such process architecture.

Show description

Read Online or Download Background Calibration of Time-Interleaved Data Converters PDF

Best design books

The Words Between the Spaces: Buildings and Language (Architext)

Utilizing language - conversing and realizing it - is a defining skill of people, woven into all human task. it really is accordingly inevitable that it may be deeply implicated within the layout, creation and use of constructions. construction laws, layout publications, pageant and different briefs, architectural feedback, instructing and scholarly fabric, and the media all produce their attribute texts.

How It Works: Gadget [UK], Issue 7

Device is a mass-market tech journal for geeky mom and dad and their little ones. It’s a down-to-earth guide for readers who wish information regarding high-tech new items and traits, all coated with the perception, element and informative pictures that experience made Imagine’s the way it Works journal so well-liked by an identical demographic.

Statistical and Neural Classifiers: An Integrated Approach to Design

The class of styles is a vital quarter of study that's crucial to all development popularity fields, together with speech, snapshot, robotics, and information research. Neural networks were used effectively in a couple of those fields, yet up to now their software has been in response to a "black field approach", without genuine realizing of the way they paintings.

SOC Design Methodologies: IFIP TC10 / WG10.5 Eleventh International Conference on Very Large Scale Integration of Systems-on-Chip (VLSI-SOC’01) December 3–5, 2001, Montpellier, France

The eleven th IFIP foreign convention on Very huge Scale Integration, in Montpellier, France, December 3-5,2001, was once a good luck. the focus used to be approximately IP Cores, Circuits and method Designs & purposes in addition to SOC layout equipment and CAD. This ebook includes the simplest papers (39 between 70) which were offered through the convention.

Additional resources for Background Calibration of Time-Interleaved Data Converters

Example text

Reducing the resolution of the calibration ADC does not change the shape of the correlation function. If R. t/ is simply a scaled version of R. / [25], so that the resolution of the calibration ADC can indeed be reduced without loss of detail in the correlation function. This can be taken further by calculating the correlation using only a one-bit representation of the sub-ADC, similar to that in [26], in addition to a one-bit representation of the calibration ADC. The resulting correlation is R1 .

T0 ; T0 / D 1, which illustrates the change in the curvature of the autocorrelation function as a function of T0 . 30 2 Time-Interleaved ADCs Without loss of generality, we set 0 , the timing skew of the first sub-ADC, to 0. 3dB and T0 , the ideal sampling point of the sub-ADCs, as in Fig. 17. In this simulation, T0 is varied from 0:1T to 0:7T . As is expected, the value of T0 affects the value of the resulting SNR because of its effect on the shape of the autocorrelation curve. This effect depends on the “speed” of the channel; for example, when the channel is extremely fast, as in Fig.

This is also captured by the autocorrelation R. /, which, as in Fig. 10d, is not as close to 1. A deterministic bound on timing skew is derived with s N 1 SNRQ 1 1 X R. 54) P i D0 SNRQ 20 2 Time-Interleaved ADCs b x(t) R(t) a Fig. 10 (a) Slow signal. (b) Wide autocorrelation for slow signal. (c) Fast signal. (d) Narrow autocorrelation for fast signal t τ t τ t d x(t) R(t) c τ t τ To calculate a statistical bound, it is useful to assume the autocorrelation is secondorder differentiable, such that it can be expressed as a Taylor series centered around D 0.

Download PDF sample

Rated 4.36 of 5 – based on 25 votes