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Table 5.1: the results at low-noise level for our method

in unknown title
by unknown authors 2003

Table 5.7: Low-noise level experiment results for implicit polynomials

in unknown title
by unknown authors 2003

Table 5.9: the results at low-noise level for Moment method

in unknown title
by unknown authors 2003

Table 5.11: the results at low-noise level for Fourier descriptors

in unknown title
by unknown authors 2003

Table 1: DR-TDMA MACFrame Parameters

in Dynamic Reservation TDMA Protocol for Wireless ATM Networks
by Jean-François Frigon, Victor C. M. Leung, Henry C. B. Chan
"... In PAGE 5: ...cknowledgments for all mobile stations are grouped in the same downlink control slots (i.e., eachdownlink control slot is not dedicated to a speci c mobile station). Table1 summarizes the DR-TDMA frame parameters. It should be noted that the only parameters that directly in uence the MAC protocol e ciency are: the frame duration, the number of control and data slots per frame and the data to control slot size ratio.... ..."

Table 4. Table showing that spatial derivative is useful in clean and low noise conditions but in high noise cases spatial derivative can hurt the robustness of the features. A 15 mixture GMM and 12 NRAF features where used. Pink noise was synthetically added.

in DEDICATION
by Sourabh Ravindran, Dr. Yucel Altunbasak, Dr. James, M. Rehg 2006
"... In PAGE 47: ... But in the case where pink noise is synthetically added we see that the performance of MFCC drops sharply at low SNRs while the degradation of NRAF is more graceful (see Table 3). Table4 shows the comparison of NRAF with and without spatial derivative. As predicted the performance of NRAF with spatial derivative is better in clean conditions, but in very low SNR cases, NRAF without spatial derivative does better.... ..."

Table 3.1 Response surface modeling error for low noise amplifier. Performance Linear (%) Quadratic (%)

in Statistical Performance Modeling and Optimization
by Xin Li, Jiayong Le, Lawrence T. Pileggi

TABLE II GROUND BOUNCE REDUCTION FOR DIFFERENT VALUES OF PARASITIC RESISTANCE OF THE ON-CHIP LOW NOISE GROUND

in On-Chip Power Noise Reduction Techniques in High Performance SoC-Based Integrated Circuits
by Mikhail Popovich, Eby G. Friedman

Table 4 Specifications of the Applanix POS AV 310 and DG 310 models. The accuracy values for position and orientation are RMS, postprocessing for dual frequency GPS receivers and heading for typical mission profiles and latitudes

in unknown title
by unknown authors
"... In PAGE 6: ... AV 310 comes in two versions, a stan- dard and a 18rh one that has lower values for bias . repeatability and noise Table4 . All three models use a 12-channel, low noise, DGPS-ready, single or dual frequency GPS receiver and can output time tag, status, position, attitude, velocity, track and speed, dynamics, performance metrics and sensor data with a rate of up to 200 Hz to a removable PCMCIA disk.... ..."

Table 6.1 shows the signal noise reduction by the four different types of filters. A simple (standard) noise filter, which uses only one signal, was able to half the signal noise. This relatively low noise reduction is because of the dynamic nature of the flow in the start-up sequence of the SSME. When more signals are used, the estimation accuracy increases, and the signal noise is reduced. Using an extra sensor further reduces the signal noise. Figure 6.4 shows the estimation of the flow by the Two-valves filter.

in A Comparative Evaluation of Models and Algorithms in Model-Based Fault Diagnosis
by L. A. Breedveld 2004
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