Delta-Sigma Data Converters: Theory, Design, and Simulation by Steven R. Norsworthy, Richard Schreier, Gabor C. Temes

By Steven R. Norsworthy, Richard Schreier, Gabor C. Temes

This besides eco-friendly ebook (Understanding Delta-Sigma info Converters via Richard Schreier and Gabor C. Temes) & the Blue ebook (Oversampling Delta-Sigma info Converters: concept, layout, and Simulation by means of James C. sweet and Gabor C. Temes ) shape a triad of delta sigma ADC books you'll have to learn, if you're fascinated by understanding,designing delta sigma ADC and getting it to paintings in silicon.

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Extra resources for Delta-Sigma Data Converters: Theory, Design, and Simulation

Sample text

A linear relationship between a threat parameter and a risk factor implies that changes in the risk factor will cause proportionate changes in the threat parameter. The implication is that a risk mitigation strategy that is based on reducing the effect of a threat parameter must be modified in proportion to estimated changes in the relevant risk factor. In this example, each doubling of the distance between the telescope and the computer monitor would halve the resolution of the image and thereby reduce the vulnerability to information compromise accordingly.

4 Y = X−3 (squares) and Y = X−2 (diamonds). 086, etc. The exponential function should not be confused with exponents which were discussed earlier in this chapter. Many processes can be modeled using the exponential function since it is the solution to a number of differential equations. 4 The solutions to these equations are xo eat and xo e−at, respectively, where xo is the value of x at time t = 0. 6. Specific examples of the applicability of exponentials to security scenarios will be provided as they arise in the text.

For example, if the intensity of a radiating signal can be specified in terms of the distance from the source, and intensity is central to the signal-to-noise ratio security metric, then distance is a risk factor for information compromise. Based on the model for signal intensity plus knowledge of the ambient noise power, the minimum signal-to-noise ratio required for signal detection can be estimated. From this estimate the vulnerability to unauthorized signal detection can be determined for all locations.

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