### Table 2: Comparison for non-uniform filter bank ex- ample

### TABLE I 2-dimensional uniform filter banks.

### TABLE I APPLICATIONS OF MODULATED FILTER BANKS

2006

### Table 2. The distribution of the data in non-uniformly

1992

"... In PAGE 22: ... Table2 shows the distribution of the data in the non-uniformly distributed #0Cles among 3 disks. Number of Data Distribution on Disks Records Number of Blocks Number of Blocks Number of Blocks in Files on Disk 1 on Disk 2 on Disk 3 1000 14 13 14 10000 138 138 137 15000 209 210 208 20000 279 279 279 Table 1.... In PAGE 22: ... Table 1 shows that the data in the uniformly distributed #0Cles is evenly distributed among disks. Table2 shows that the data in the non-uniformly distributed #0Cles is nearly equally distributed among disks even without using any rebalancing algorithm. Performance of range query processing.... ..."

Cited by 38

### Table 5 : Times required for filter reconfiguration and writing partial bitstreams for filter

2001

"... In PAGE 10: ........... 71 Table5 : Times required for filter reconfiguration and writing partial bitstreams for filter banks of varying number of taps. The partial bitstream file size is also reported for each configuration.... ..."

Cited by 3

### Table 2: Nonuniform distributions.

1995

"... In PAGE 14: ...earch the sweepline. Giftwrapping depends on a uniform bucket grid to support site searching. In order to see how each algorithm adapts to its input, we will study further tests using inputs from very nonuniform distributions. In Table2 the notation N( ; s) refers to the normal distribution with mean and standard deviation s, and U(a; b) is the uniform distribution over the interval [a; b]. The graphs show each algorithm running on five different inputs of 10K sites from each distribution.... ..."

Cited by 46

### Table 5 - Computed Stresses (Non-Uniform Model)

"... In PAGE 8: ...able 4 - Computed Stresses (Uniform Model)............................... 29 Table5... In PAGE 37: ... For the linearly decreasing pressure case it occurs at 41%, and for the linearly increasing pressure case it is roughly 28%. Table5 lists the maximum Von Mises stresses achieved for each load case at each level of deterioration investigated using the non-uniform model. The data are also presented in graphical form in Figure 13.... ..."

### Table 1: Comparison of Average Costs for Non-Uniform distribution

1996

"... In PAGE 23: ... During this period, if the system designer uses LU-PC instead of adaptive, the network load (in terms of number of messages) will increase by 12%. For the given call and mobility distribution (shown in Figure 14 and Figure 13), the total savings of adaptive over LU-PC is 4% and over LU-JU is 17% (as shown in Table1 ). Thus, the results show that a simple adaptive location management algorithm as shown in Figure 12 performs better than the static location management strategies for a wide range of call-mobility patterns.... ..."

Cited by 14

### Table 1: Comparison of Average Costs for Non-Uniform distribution

1996

"... In PAGE 23: ... During this period, if the system designer uses LU-PC instead of adaptive, the network load (in terms of number of messages) will increase by 12%. For the given call and mobility distribution (shown in Figure 14 and Figure 13), the total savings of adaptive over LU-PC is 4% and over LU-JU is 17% (as shown in Table1 ). Thus, the results show that a simple adaptive location management algorithm as shown in Figure 12 performs better than the static location management strategies for a wide range of call-mobility patterns.... ..."

Cited by 14

### Table 2: MSE values in [dB] for two test with tap- assignment algorithmsbased on di erent criteria. tap assignment strategies, and shown its bene t for the identi cation of systems with very long impulse responses and an unbalanced spectral pro l. Tap- assignment strategies have been discussed, and we have introduced a simpler form of a coe cient-based algo- rithm, which is biased but more robust again observa- tion noise. Lower complexity may still be achievable using over- sampled, real lter banks, by either modulation [2] or non-uniform bandwidth lter banks, which allows to omit cross-terms.

1996

Cited by 4