### Table 3: Quantitative and qualitative measures. Quantitative measures

"... In PAGE 17: ...Table3 so that we can validate the theoretical performance of Striping Broadcast. We also measured the qualitative performance metrics that indicate the playback quality perceived by the users.... In PAGE 17: ... When an unexpected pause occurred during a playback, the user recorded the pause period using a digital clock running on the same client machine. Each metric in Table3 is the average of the cor- responding measures over four complete playbacks of the same video. 4.... ..."

### TABLE II QUALITATIVE AND QUANTITATIVE COMPARISON

### TABLE 1: Quantitative analysis of filtering method for different noiss images

"... In PAGE 26: ...TABLE1 : Comparative study on some PLD technology Technology Typical data retention Typical erase / Typical erase / program time program cycles times EPROM Greater than 10-20 years OTP-10,000 times Some minutes UV-light / about 0.1 msec, per cell EEPROM Greater than 10-20-years Greater than 1,000- Some milliseconds per cell 10.... In PAGE 41: ...IETE TECHNICAL REVIEW, Vol 24, No 6, November-December 2007 TABLE1 : The functionality of different mechanical and vacuum components Sr.No Components To be checked 1 Window Shutters Operational 2 Transfer Mechanism Operational 3 All Valves Operational 4 Ion Pump controller Thermal cooling fan is OK Input is free from surge voltage 5 TSP Filaments are OK 6 Rotary and Turbo Pumps Oils have to be checked from time to time 7 Shutters Operational at room temperature and higher temperature.... In PAGE 52: ...TABLE1 : Dimensions of the stepped impedance low pass filters Equivalent Resistor Capacitor Inductor Capacitor Inductor Capacitor circuits Impedance 50 W 20 W 100 W 20 W 100 W 20 W Length 5 mm 4.026 mm 14.... ..."

### Table 1: Quantitative analysis of reconstruction errors

2001

"... In PAGE 5: ... The second set was generated by applying weights, as explained in the previous section, with rescaling factors 0 =1:0 and 1 =10:0 that are chosen empirically through the analysis of distribution of wavelets coefficients. Statistics on our objective fidelity criteria are summarized in Table1 (a) for the two cases. The root mean squared error (RMSE) is the square root of the average of the squared er- ror measure, and it is one of the most often used average measure.... In PAGE 6: ... Figure 8(i) shows the 270th coronal slice col- ored according to the maximally combined weights. 23% of voxels have positive weights, and the reconstruction errors over these vox- els are compared in Table1 (b). From the through examination of visualized images, we find that the patterns of performance in visualization for both the Visi- ble Man data and the Bighead data are very similar to each other.... ..."

Cited by 9

### Table 1. Quantitative analysis of reconstruc- tion errors

2001

"... In PAGE 7: ... The second set was generated by applying weights, as explained in the previous section, with rescaling factors AD BC BP BDBMBC and AD BD BP BDBCBMBC that are chosen empirically through the analysis of distribution of wavelets coefficients. Statistics on our objective fidelity cri- teria are summarized in Table1 (a) for the two cases. The root mean squared error (RMSE) is the square root of the average of the squared error measure, and it is one of the most often used average measure.... In PAGE 8: ... Figure 8(i) shows the 270th coronal slice colored according to the maximally combined weights. 23% of vox- els have positive weights, and the reconstruction errors over these voxels are compared in Table1 (b). From the through examination of visualized images, we find that the patterns of performance in visualization for both the Visible Man data and the Bighead data are very similar to each other.... ..."

Cited by 9

### Table 1: Quantitative analysis of reconstruction errors

2001

"... In PAGE 5: ... The second set was generated by applying weights, as explained in the previous section, with rescaling factors 0 = 1:0 and 1 = 10:0 that are chosen empirically through the analysis of distribution of wavelets coefficients. Statistics on our objective fidelity criteria are summarized in Table1 (a) for the two cases. The root mean squared error (RMSE) is the square root of the average of the squared er- ror measure, and it is one of the most often used average measure.... In PAGE 6: ... Figure 8(i) shows the 270th coronal slice col- ored according to the maximally combined weights. 23% of voxels have positive weights, and the reconstruction errors over these vox- els are compared in Table1 (b). From the through examination of visualized images, we find that the patterns of performance in visualization for both the Visi- ble Man data and the Bighead data are very similar to each other.... ..."

Cited by 9

### Table 1: Quantitative analysis of reconstruction errors

"... In PAGE 5: ... The second set was generated by applying weights, as explained in the previous section, with rescaling factors 0 = 1:0 and 1 = 10:0 that are chosen empirically through the analysis of distribution of wavelets coefficients. Statistics on our objective fidelity criteria are summarized in Table1 (a) for the two cases. The root mean squared error (RMSE) is the square root of the average of the squared er- ror measure, and it is one of the most often used average measure.... In PAGE 6: ... Figure 8(i) shows the 270th coronal slice col- ored according to the maximally combined weights. 23% of voxels have positive weights, and the reconstruction errors over these vox- els are compared in Table1 (b). From the through examination of visualized images, we find that the patterns of performance in visualization for both the Visi- ble Man data and the Bighead data are very similar to each other.... ..."

### Table 3. Results of the qualitative overview

2004

"... In PAGE 16: ... Thus, the third chapter begins with a presentation of two different classifications for combined designs, both emerging from empirical data. Table3 shows the results of preliminary classification. It can be seen that, almost in a quarter of the studies, the most characteristic way of combination was considered to be a quantitative analysis of initially qualitative data.... ..."