### Table 5.1: Specifications of OFDM based FFT/IFFT Standard bps FFT size Application

2001

### Table 5. Enhanced system throughput and memory requirements

1994

Cited by 15

### Table 1: Densities and fQ-functions for various distributions

"... In PAGE 8: ...EFINITION 2.2. The set of all fQ-distributions FQ := fX 2 IR : X F( ; ; ; ); 2 IR; gt; 0; ; 0g is called fQ-System. Table1 gives the density functions f(x) and the fQ-functions fQ (p) of some well-known distributions (for details see e.... ..."

### Table 4: The use of SVM and VSM into distributed signal polling system

"... In PAGE 8: ... Pre-signal scheduling is the scheduling of processes before any signal detection is started. We observe from Table4 that the three types of scheduling techniques result in different sizes for the state-space. Applying both post- and pre-signal scheduling results in the smallest state-space.... ..."

### Table 1: Probability density function of the receiver busy time for a system with N = 10; Lc = 2; p = Pr[multicast is scheduled in a control slot] = 0:3, K0 = 3, and maximum reservation time (M) = 10 (for the exact model).

1997

"... In PAGE 12: ... Let A = (a0; a1; : : :; aM) be an arbitrary state in the Markov chain and let A be the steady-state probability of state A. The probability density function of the receiver busy time will be given by: PR(r) = X all states A A (ar=N) (7) The results from a simulation model of the system have been compared with the results from the above (exact) Markov chain in Table1 . We observe excellent agreement between the results obtained from the simulation and the Markov chain model.... In PAGE 12: ... In the simulation, which was run for 5 106 time units, we did not have a limitation on the maximum receiver busy time (M). Table1 also shows results from an approximate Markov model which is developed in the next section, and whose results will be discussed later. 3.... In PAGE 20: ... Thus, the probability of a node having receiver busy time equal to Rmax ? iK0 is given by (Lc N )(1 ? Lc N )i. 2 Once we know fY (y) = probability distribution function of Rmax, and fRjY (rjY ) = conditional probability distribution of the receiver busy time of a node given the Rmax value to be equal to Y , the unconditional probability distribution of the receiver busy time easily follows from fR(r) = y=1 X y=0 fRjY (rjY = y)fY (y) (17) Table1 compares the results from simulation with those from the exact Markov model and the approximate Markov model. We observe that there is a good match between the results.... ..."

Cited by 4

### Table 6: Distribution of the detected communities depending on number of fans, centers, and density, for t = 10.

"... In PAGE 7: ... 10 364 6% 34 3% 377 8% 15 135 5% 24 5% 331 14% 20 246 18% 24 9% 526 30% 25 148 19% 4 3% 323 30% Table 5: Number and percentage of useless calls to ExtractCommunity. Table6 shows how many communities are found with the threshold equal to 10, in the three data sets in function of number of fans, centers, and density. Low, medium and high densities are respectively the ranges [0.... ..."

### Table 6: Distribution of the detected communities depending on number of fans, centers, and density, for t = 10.

"... In PAGE 7: ... 10 364 6% 34 3% 377 8% 15 135 5% 24 5% 331 14% 20 246 18% 24 9% 526 30% 25 148 19% 4 3% 323 30% Table 5: Number and percentage of useless calls to ExtractCommunity. Table6 shows how many communities are found with the threshold equal to 10, in the three data sets in function of number of fans, centers, and density. Low, medium and high densities are respectively the ranges [0.... ..."

### Table 8: Renormalized Maximum Values of the Probability Density Distribution Functionsa

1448

"... In PAGE 11: ... Table8 lists the maximum values of the probability density distribution function for the various combined-channel MAX data sets and all models considered here. From these numerical values, and from Figure 4, one sees that for all the combined-channel MAX data sets, except 5MP which does not have a detection, the likelihood functions are peaked and very well separated from 0 K.... ..."

### Table 8: Renormalized Maximum Values of the Probability Density Distribution Functionsa

"... In PAGE 9: ... Tables 6-9 summarize our MAX data set analyses. Table8 lists the maximum values of the probability density distribution function for the various combined-channel MAX data sets and all models considered here. From these numerical values, and from Figure 4, one sees that for all the combined-channel MAX data sets, except 5MP which does not have a detection, the likelihood functions are peaked and very well separated from O pK.... ..."