### TABLE I ANALOG TIMING RECOVERY.THEORETICAL rms PHASE JITTER [deg] FOR DIFFERENT LOCK TYPES

### Table 1. Timings for recovery of P given (6.1), using root-finding.

2006

"... In PAGE 8: ...work.mit.edu. The machine has 2GB of RAM. The timings and sizes of the computations for various initial constraints are summarized in Table1 (using root-finding, as in Section 4, with rounding precision p = 32) and Table 2 (using power sums, as in Section 5). Each entry consists of the number of CPU seconds for the calculation, rounded up to the nearest tenth of a second, followed by the number of leaves (terminal nodes) in the tree over which we exhausted.... ..."

### TABLE III. DESIGN PARAMETERS OF THE TIMING RECOVERY LOOP

### Table 1 - Stochastic Model Parameters for Experimental Circuits.

1993

"... In PAGE 21: ... The routability predictions that are generated here will be compared with the results from a previously published experimental study, so the parameters will be taken from the FPGA circuits that were used there [2]. The corresponding values are listed in Table1 . Note that some of... In PAGE 22: ...these parameters did not appear in the original paper [2], but the values in Table1 have all been measured from the actual circuits. The parameters and can be approximated by making some assumptions con- cerning the topology of the S blocks.... ..."

Cited by 19

### Table 1 - Stochastic Model Parameters for Experimental Circuits.

1993

"... In PAGE 21: ... The routability predictions that are generated here will be compared with the results from a previously published experimental study, so the parameters will be taken from the FPGA circuits that were used there [2]. The corresponding values are listed in Table1 . Note that some of... In PAGE 22: ...these parameters did not appear in the original paper [2], but the values in Table1 have all been measured from the actual circuits. The parameters and can be approximated by making some assumptions con- cerning the topology of the S blocks.... ..."

Cited by 19

### Table 2. Model stochasticity.

2006

"... In PAGE 3: ... The PLAN C model produces as its output the individual traces of all its agents and statistical infor- mation about the time-course of the global behavior. In this paper, we have decided to investigate and analyze the three criteria presented in Table2 : the percentage of fatal- ities, average ill-health of the affected5 population (at the end of 16 hours) and the average waiting time at the hos- pitals (during the first 16 hours). The global behavior is the emergent interaction between the different classes of agents and available resources for the specific emergency scenario.... In PAGE 4: ... It follows that one simulation is not enough to evaluate the fitness function, and can only be considered as an esti- mate of the fitness. In order to study the stochasticity of the PLAN C model, Table2 shows the error rate in the esti- mation of the different analyzed objectives with respect to a true fitness value estimated on 1000 independent runs. As expected, the stochasticity is different for each objective / criteria: the number of fatalities and the average waiting time are more sensitive to the stochastic behavior than the average ill-health.... ..."

Cited by 1

### Table I: PLL gain parameters for longitudinal recording. Convergence Timing recovery schemes

2003

Cited by 3

### Table II: PLL gain parameters for perpendicular recording. Convergence Timing recovery schemes

2003

Cited by 3

### Table 5 Stochastic Volatility Models

"... In PAGE 26: ...etween 5.7 and 14.4 percent in our sample. Our choice of a linear drift and a square-root di#0Busion function for the dynamics of the exchange rate volatility is admittedly ad-hoc. Therefore, Table5 tests this speci#0Ccation #28Model A#29 against a number of alternatives. Model B has a linear drift and a constant elasticity of variance #28CEV#29 di#0Busion function p #0C 2 v #0C 3 .... ..."