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The techniques of Section 7.4.1 can also be used to derive lower and upper bounds on the local time of a remote node. Figure 7.6(b) shows a sequence of lower and upper bounds on the local times h j of a remote node Nj on the y-axis and the corresponding local times hi of a node Ni on the x-axis. In the previous section, the samples formed a single cloud and the interpolation was a line through the middle of this cloud. Here we have two clouds, one formed by the lower-bound samples, the other by the upper-bound samples. The convex-hull technique [19,20] interpolates the two clouds separately. One curve is drawn above all lower bounds, a second below all upper bounds. While linear-regression and PLL techniques tend toward the average of the individual samples, the convex-hull technique ignores average values and accounts for the samples with minimal or maximal error. This can result in improved robustness: While the current average message delay can be very unstable, the minimal message delay remains stable, though it may occur more or less frequently. In ref. [14], it is proposed to interpolate lower- and upper-bound samples by a single line as follows: First, the steepest and attest lines that do not violate any lower or upper bound are determined. The slopes of these lines represent bounds on the drift of clock hj relative to hi. The average -line of these two extremal solutions is used as the nal interpolation; for a more detailed description, see Section 7.5.3. 7.4.5 Synchronization of Multiple Nodes

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Attenuation Distortion (Frequency Response). Another parameter that seriously affects the transmission of data and can place de nite limits on the modulation rate is attenuation distortion. Ideally, all frequencies across the passband of a channel of interest should undergo the same loss or attenuation. For example, let a 10-dBm signal enter a channel at any given frequency between 300 Hz and 3400 Hz. If the channel has 13 dB of at attenuation, we would expect an output at the distant end of 23 dBm at any and all frequencies in the band. This type of channel is ideal but unrealistic in a real working system. In Rec. G.132 (Ref. 9), the CCITT recommends no more than 9 dB of attenuation distortion relative to 800 Hz between 400 Hz and 3000 Hz. This gure, 9 dB, describes the maximum variation that may be expected from the reference level at 800 Hz. This variation of amplitude response is often called attenuation distortion. A conditioned channel, such as a Bell System C-4 channel, will maintain a response of 2 dB to +3 dB from 500 Hz to 3000 Hz and 2 dB to +6 dB from 300 Hz to 3200 Hz. Considering tandem operation, the deterioration of amplitude response is arithmetically cumulative when sections are added. This is particularly true at band edge in view of channel unit transformers and lters that account for the upper and lower cutoff characteristics. Figure 10.11 illustrates a typical example of attenuation distortion (amplitude response) across carrier equipment back-to-back. Attenuation distortion, phase distortion, and noise were introduced in Section 3.3.

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The second parameter is the turn radius value, which is specified in millimeters. This radius describes a circle upon whose circumference the Roomba will drive. Driving in arcs enables Roomba to make easy and efficient turns around many things like wall corners, table legs, and so on. Positive radius values turn the Roomba toward the left, and negative radius values turn it toward the right. Postive velocity values turn Roomba in a forward direction, and negative velocity values have it back up as it turns. Depending on the sign of the velocity and radius values, there are four different ways the Roomba can move in a curve (see Figure 5-4).

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