### Table 6 Multiplierless 32d QMF filter banks found by DLM with static and adaptive weightsa

1998

"... In PAGE 23: ...ll the coe cients to be 0.9474. After multiplying each coe cient by this scaling factor and restricting each coe cient to a PO2 form with a maximum of 6 ONE bits, we apply DLM with both static and dynamic weights to find the best PO2 designs. Table6 compares the objectives of the designs found and the corresponding convergence times of DLM. Using the adaptive DLM, all the searches con- verge, and most designs have better reconstruction errors.... ..."

### Table 2. Registration errors.

"... In PAGE 2: ...01 parameter encoding real values The db1 filter is selected as the wavelet basis, because it has the best location accuracy and least computation load compared to the other basis. For a rigid transformation with 4 mm translation both in x-axis and y-axis and 4 degree rotation, mean, maximum and median of the registration errors of the 50 slices are listed in Table2 , where the L denotes the decomposition level for DWFT. From Table 2, we can see that when the decomposition level is one, our proposed method can achieve the small- est mean, maximum, and median of errors in x-direction translation.... In PAGE 2: ... For a rigid transformation with 4 mm translation both in x-axis and y-axis and 4 degree rotation, mean, maximum and median of the registration errors of the 50 slices are listed in Table 2, where the L denotes the decomposition level for DWFT. From Table2 , we can see that when the decomposition level is one, our proposed method can achieve the small- est mean, maximum, and median of errors in x-direction translation. For y-direction translation, our method gives a smaller mean of errors than both MI and NMI.... ..."

### Table 1 Output Error Longitudinal LOES Parameter Sensitivity Correlations

2000

"... In PAGE 27: ...omain version of Eq. (2)), with parameter values from Eq. (47). Table1 gives the sensitivity correlation matrix for the sensitivities using a low frequency (0.1 rad/sec) unit amplitude sinusoidal longitudinal stick input.... ..."

Cited by 4

### Table 1 Output Error Longitudinal LOES Parameter Sensitivity Correlations

2000

"... In PAGE 27: ...omain version of Eq. (2)), with parameter values from Eq. (47). Table1 gives the sensitivity correlation matrix for the sensitivities using a low frequency (0.1 rad/sec) unit amplitude sinusoidal longitudinal stick input.... ..."

Cited by 4

### Table 10 Lateral/Directional LOES Modeling Results for F-18 HARV Flight Test Data

2000

"... In PAGE 51: ...1 sec. Table10 contains the state space model parameter estimates and standard errors. Most parameter standard errors were less than 15% of the respective nominal parameter estimate.... In PAGE 51: ... The dashed lines in Figure 19 show that the model fit to the data was excellent, even at this high angle of attack flight condition using a LOES model structure to characterize the end-to-end dynamic MIMO response. Modal parameters are given at the bottom of Table10 . LOES transfer functions can be computed easily20 from the parameter estimates in Table 10 and the state space model of Eq.... In PAGE 51: ... Modal parameters are given at the bottom of Table 10. LOES transfer functions can be computed easily20 from the parameter estimates in Table10 and the state space model of Eq. (71).... ..."

Cited by 4

### Table 10 Lateral/Directional LOES Modeling Results for F-18 HARV Flight Test Data

2000

"... In PAGE 51: ...1 sec. Table10 contains the state space model parameter estimates and standard errors. Most parameter standard errors were less than 15% of the respective nominal parameter estimate.... In PAGE 51: ... The dashed lines in Figure 19 show that the model fit to the data was excellent, even at this high angle of attack flight condition using a LOES model structure to characterize the end-to-end dynamic MIMO response. Modal parameters are given at the bottom of Table10 . LOES transfer functions can be computed easily20 from the parameter estimates in Table 10 and the state space model of Eq.... In PAGE 51: ... Modal parameters are given at the bottom of Table 10. LOES transfer functions can be computed easily20 from the parameter estimates in Table10 and the state space model of Eq. (71).... ..."

Cited by 4

### Table 3. Maximum registration errors for PET to MRI registration.

1999

"... In PAGE 3: ...2 Accuracy For PET to MRI registration, median errors using no thresholding, coincidence, and standard thresholding are given in Table 2. Maximum errors are presented in Table3 . For details on the assessment method consult [3].... In PAGE 3: ...iven in Table 2. Maximum errors are presented in Table 3. For details on the assessment method consult [3]. Median registration errors do not reveal significant differences between the three methods. Considering maximum errors ( Table3 ), coincidence thresholding gave the best results in three out of six categories (PET non-rectified MRI) and was always close to the respective optimum in the remaining three cases. Maximum errors for CT to various MRI registrations are given in Table 4.... ..."

Cited by 8

### Table 3 Dynamic probit model of export participation (standard errors in parenthesis)

"... In PAGE 24: ... The observations for 1984-1989 are used to estimate the role of sunk costs using equation (4). The parameter estimates for equation (4) are reported in Table3 for several model specifications. The most general model, reported in the first column, includes three lags of past participation (Y,s,, pi2 2,ij-3 ) as well as interaction terms involving Y,,.... In PAGE 24: ... as well as interaction terms involving Y,,., and year dunuy variables. Trhese interaction terms allow the sunk costs of a new exporter to vary over time with market conditions.8 The remaining three columns in Table3 report results for models that restrict the averages 8.... In PAGE 26: ... Hence our choice of a three year lag structure appears to capture all of the relevant history. Expected Profits from Exporting: The remaining coefficients in Table3 summarize the influence of year effects and plant characteristics on the expected profitability of exporting, net of sunk entry costs (ir, - Pi,). (Recall that this expression gives the net return from exporting for a plant with no prior foreign market experience.... In PAGE 28: ... Unobserved Plat Heterogeneity and Noise: The final sources of vaniaon in export status are unobserved error components: persistant plant heterogeneity, a;, and transitory noise, w. As shown in Table3 , .336 of the total unobserved variation is due to persistent heterogeneity, and this I A decline in the probability of failure as a plant ages has been found by Roberts (1994) for Colombia and by Tybout (1994) for Chile.... In PAGE 41: ...values from Table3 in conjunction with the observed 4, trajectories and random draws on a5, P,, and w,, to repeatedly simulate Y apos;, sequences, plant by plant. (The reported tests are based on 200 simulations per plant.... In PAGE 41: ...(I) = 1E Q(Z, Z ZU.1 *ZT I p, y, or p) The expected frequencies generated by the model in column 1 of Table3 are reported in the second column of Table A1.1.... ..."

### Table records earliest video coding standard to adopt listed error resilience techniques. No classification is made between versions of these standards. Thus, these techniques or enhanced versions of them are included in forward standards. Some of these techniques may also be compatible with prior standards.

### Table 7: Perplexity and character error rate results on Open-Test, using training set adaptation, filtering, and others

"... In PAGE 20: ...2, with other conventional domain adaptation methods. In Table7 , we show the perplexity and character error rate results, using Open-Test as the test set. The error rate results are obtained using the system of pinyin-to-character conversion described in Section 6.... ..."