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video, and data transmission]. The plot shows the relation between the required effective number of bits and the signal frequency. The CCD interface A/D converters require a relatively high degree of accuracy at low frequencies to meet the CCD dynamic range requirement. Because these devices are used in portable cameras, the emphasis is on low-power and low-voltage operation. 31 Data transmission applications (Teletext and digital satellite transmission) need 6-7 effective bits, but require proper conversion at high signal frequencies. Between these two extremes is the baseband video converter, used in the signal paths of high-end television sets. Its requirements are as follows: good dc linearity (DNL = 0.5 LSB) to prevent visibility of quantization errors in large areas of slowly varying intensity), 7.5-bit resolution at the color carrier frequency (3.57- 4.43 MHz) for color decoding, and a minimum 7-bit performance up to 10-12 MHz signal frequencies for terrestrial and cable digital TV transmission. Although all three converters are used for video signal processing, the specifications are hardly interchangeable. Several suboptimizations exist for each of these three converters, which have resulted in a wide range of power-performance combinations. Some simple benchmarking can, however, be derived from the combination of bandwidth and accuracy requirements* (see also Fig. 11.20): Power 2 ENOB x 2 x BW



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Ec (r)

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2 Highest Posterior Density Intervals The last few sections have identi ed problems that can occur so as to seriously affect the quality of inference In this section we argue that a posterior (or likelihood) summary procedure which describes features that would be missed by standard reporting mechanisms is justi ed as a standard procedure in social science inference The standard Bayesian method for describing multimodal posteriors (or others, for that matter) is the highest posterior density (HPD) interval For marginal distribution summaries this is a noncontiguous interval of the sample space for the parameter of interest, and for joint distribution summaries this is a region in the multidimensional sample space Marginal HPD intervals are easier to display and discuss, and therefore this is the norm.

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It is important to note that while HPDs are a Bayesian creation, the core idea does not depend on any Bayesian assumption and non-Bayesian treatments, highest density regions (HDRs), are just as easily constructed and interpreted More speci cally, the 100(1 )% HPD interval is the subset of the support of the posterior distribution for some parameter, , that meets the criteria C = { : ( |x) k}, where k is the largest number that guarantees 1 = ( |x) d (426) (425).

k =0 0.020 0.040 0.079 0.191 0.341 0.433 0.477

3 cos[ 1 (t) + 2 2 (t)] + cos{ 2 (t) + [ 2 (t) 1 (t)]} , 4

(3.11)

TABLE 7.1. Trap Concentration and Activation Energy of Each Trap Measured by DLTS Devices PVD EP-15.4% EP-13.4% AP-12.4% Trap Level E1 H1 E1 H1 E1 H1 E1 H1 E2 Energy Level (eV) Ec 0.1 Ev + 0.26 Ec 0.09 Ev + 0.27 Ec 0.09 Ev + 0.26 Not resolved Ev + 0.26 Ec 0.83 Trap Concentration (cm 3) 2.1 1014 2.7 1014 8.4 1014 1.2 1013 1.2 1015 1.5 1014 6.6 1014 3.2 1014 2.1 1014

TL_Ref: a numeric expression representing the object identification number Size: numeric value ranging from 0 (the thinnest) to 6 (the thickest). TL_SetSize(2,4); {sets trendline 2 to thickness 4}

If we assume the power to be the same on all branches, i2 = 2 , we nd the output average SNR per bit to be i = 2 Eb [(L 1)/N ] 2 Eb + N0 all i (10.3.9)

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