### Table 8: Correlation between analytical and experimental EP probabilities

"... In PAGE 26: ...3240. Table8 contains the 15 non-trivial entries corresponding to the 15 connectors over which faults were injected during the controlled experiment. Note that the number of injected faults over connectors highly varies considerably across the entries.... In PAGE 26: ... The connectors in the table follow a descending order with respect to the number faults injected over each connector. We start computing the correlation coefficient by considering only the two connectors with the highest number of injected faults (entries 1 and 2 in Table8 ). As we consider more connectors, with appreciable number of fault injections, we notice that a high correlation exists between the analytical and the experimental results.... ..."

### Table 8 Summary Statistics of Yield Spread Changes

"... In PAGE 27: ... In any case, if we accept on economic grounds that the credit spread series are stationary, it is clear from the high autocorrelation coefficients that they revert only slowly to their long-run average. In Table8 summary statistics for changes in credit spreads are presented. To some extent these are more important in a risk management context, as it is important to understand how credit spreads behave through time.... In PAGE 29: ...06 0.07 percentages In Table8 the first three order autocorrelation coefficients of the spread changes are also shown. Without any exception, all first order coefficients are negative and usually significantly different from zero.... In PAGE 29: ... Higher order autocorrelation does hardly seem present in the series. In any case, from the skewness and kurtosis coefficients in Table8 , it is clear that spread changes are not normally distributed. This is both due to skewness and kurtosis.... In PAGE 33: ... A second indication of the effect of risk reduction characteristics across the rating and maturity dimensions can be found in Table 10. This table reports similar summary statistics as in Table8 (Summary Statistics of Yield Spread Changes) but now for value weighted aggregate indices. We computed average spreads for the different credit rating classes and maturity buckets.... In PAGE 49: ...46 7. Mean Reversion The summary statistics for spread changes shown in Table8 as well as the Durbin- Watson statistics in Table 13 show that the series contain significant negative first order serial correlation. This may be an indication of some kind of mean reversion: the tendency of spreads to return to some long-term value after deviations from this value.... ..."

### Table 2: MAS for preambles corresponding to one particular preamble spreading code.

1999

"... In PAGE 5: ..., -1, 1, -1, -1, 1}. The aperiodic auto-correlation function of this new code is shown in Figure 4 in the annex. As can be seen the Golay sequences have much better auto-correlation properties. The MAS for all the preambles based on the above preamble spreading code are listed in Table2 . The benefits of the Golay sequences in terms of reduced MAS is clear.... ..."

### Table 6 Simulation and Analytic Results (Page)

"... In PAGE 64: ... Table6 presents simulation and analytic results comparing performance of the vaxpy computation ordered under the assumptions of known and unknown alignment for a range of loop unrolling depths b. Assuming known alignment, access ordering improves perfor- mance over the natural reference sequence from 96% to 216%; under the assumption of unknown alignment performance is improved from 49% to 139%.... ..."

### Table 2: Example of Rotated Spreading Codes for Correlator

"... In PAGE 2: ... This increase in amplitude on the corners of the unit square causes, on average, only a change in the gain of the correlator result. A simplified example is now shown in Table2 for the case when the spreading code equals 1 for all chips. The first column is the spreading code for the 0Hz correlator.... In PAGE 3: ... The 0Hz correlator output has to be normalised against frequency offset correlators as the absolute amplitude of the correlations is 1 compared to on av- erage (1:414+1)=2 for the other frequency bins. This is evident from Table2 . What can be noted from this diagram is that no more than 1 dB of loss occurs over the entire frequency range.... ..."

### Table 1: Analytical computational complexity

"... In PAGE 4: ... 5. COMPLEXITY ANALYSIS Table1 compares the proposed receiver and the BSS only method in [6] in terms of the order of the analytical compu- tational complexity where one unit corresponds to a complex valued floating point multiplication and addition. The rela- tive computational complexity in Table 2 was obtained with the parameters as defined above.... ..."

### Table 1 Analytical computational complexity

### Table 1. Bit Error Rates for Various SNR apos;s It is seen that signals within one Rayleigh beamwidth can be estimated well using this technique. We are currently working on an analytical formula for the bit error rate. Other future directions include estimation of asynchronous signals, identi ability of signals with di erent modulation formats, and the combination of coding with estimation techniques.

1994

"... In PAGE 3: ... Hence, no spatial information is used to estimate the signal bit sequences. The statistics presented in Table1 are computed over 100 runs for 4 di erent SNR apos;s. In each run, 100 bits are estimated over a di erent noise realization.... ..."

Cited by 55

### Table 1 Teaching module used for introductory fluid mechanics course: computational fluid dynamics (CFD), experimental fluid dynamics (EFD) and uncertainty analysis (UA) Lab materials

"... In PAGE 6: ... The labs are designed for hands-on seamless teaching of computational fluid dynamics methodology and procedures as tools of engineering practice, while at the same time relating results to fluid physics and classroom lectures. Table1 summarises the teaching module used in the introductory fluid mechanics course at The University of Iowa. Table 1 Teaching module used for introductory fluid mechanics course: computational fluid dynamics (CFD), experimental fluid dynamics (EFD) and uncertainty analysis (UA) Lab materials ... In PAGE 9: ... After being reviewed and revised, the course was restructured to provide three semester hours of analytical fluid dynamics (3 lectures per week) and one semester hour (1 laboratory meeting per week) of complementary experimental fluid dynamics, computational fluid dynamics, and uncertainty analysis laboratories. To meet the revised educational goals, faculty and staff created a sequence of computational fluid dynamics, experimental fluid dynamics and uncertainty analysis labs ( Table1 ). Labs were intended for hands-on seamless teaching of computational fluid dynamics, experimental fluid dynamics, and uncertainty analysis methodology and procedures as tools of engineering practice while at the same time relating results to fluid physics and classroom lectures.... In PAGE 9: ... Labs were intended for hands-on seamless teaching of computational fluid dynamics, experimental fluid dynamics, and uncertainty analysis methodology and procedures as tools of engineering practice while at the same time relating results to fluid physics and classroom lectures. Table1 provides an overview of the computational fluid dynamics lab with complementary experimental fluid dynamics lab materials. During the first week of class, one classroom lecture provides an overview of analytical fluid dynamics, experimental fluid dynamics and computational fluid dynamics as complementary tools of fluids engineering practice, which is followed throughout the semester by the analytical fluid dynamics and problem solving lectures and experimental fluid dynamics, computational fluid dynamics and uncertainty analysis labs.... ..."