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Table 2: Command file for frequency-domain fault simulation.
in SWITTEST: Automatic Switch-level Fault Simulation and Test Evaluation of Switched-Capacitor Systems
"... In PAGE 5: ... Frequency-domain fault simulation A frequency-domain fault simulation determines the best fault cov- erage that can be achieved with a multifrequency test. The com- mands in Table2 are used to drive a fault simulation in the frequency domain for the differential filter of Figure 7. For simplicity, since both inputs of an amplifier have practically the same voltage, signals j1 and x1 are used as a measure of the amplifiers input common- mode.... ..."
TABLE I MISCLASSIFICATION RATES FOR HUMAN IDENTIFICATION USING FREQUENCY-DOMAIN ASYMMETRY MEASURES.
Table 1. P 1-channel frequency-domain adaptive filtering
"... In PAGE 3: ... In Fig. 2 the frequency-domain LSE beamforming algorithm is depicted and Table1 summarizes the necessary steps to com- pute the algorithm. There wi and d denote the frequency-domain representations of the estimated beamformer weights of channel i and of the desired signal, respectively.... In PAGE 3: ...Table 1. P 1-channel frequency-domain adaptive filtering However, in the frequency-domain counterpart of (13), (14) described in Table1 , not only the psd but also the cross-power spectral densities of the noisy signal xi and the background noise ni are required. They are estimated and averaged recursively for each frequency bin whenever we detect a minimum (i.... ..."
Table 5: Time versus Frequency Domain Decompositions
1999
"... In PAGE 67: ...2). Table5 compares the results of using wavelet and cosine packet trees to decompose both time and frequency domain representations of... ..."
Table 1. Frequencies of domain indicators of the original query
"... In PAGE 3: ...Results We first present the search result of the original query bibliometrics OR informetrics OR scientometrics. In particular, Table1 shows that the domain indicators follow a Lotka function. For the meaning of these symbols we refer to, e.... ..."
Table 7: Biorthogonal Scalets Frequency-Domain Selectivity fds(a0) and fds(s0).
1998
Cited by 6
Table 1 Key performance characteristics of a second order system or its dominant root. Time domain Frequency domain Stability
"... In PAGE 2: ...ig. 4), we see that the negative peak of the plot is at 3.2 MHz and its magnitude is about -29. From Table1 , and (1.4) we can approximate the phase margin at slightly below 20 degrees, which in turn corresponds to about 53% overshoot 2 Complex zeros (positive peaks in this plot) do not directly affect systems stability.... In PAGE 3: ...3 MHz, we identified a local loop inside the zero-TC bias circuit (Figure 5) with natural frequency of about 50 MHz. From Table1 , we inferred that for the nodes of this local loop the equivalent transient step overshoot would range in between 16 and 25% with corresponding phase margin of less than 50 degrees. This helped us realize we needed to compensate this Fig.... ..."
Table 5. Computational complexity per symbol, time-domain filter length L, frequency- domain block length N.
2005
"... In PAGE 59: ... The time-domain equalizers are assumed to have length JL, which is the minimum lter length covering the receiver ISI window and consistent with the simulation con guration used for the results reported in the previous sections. An approximate operation count of the original recursive algorithm [36], the proposed square root recursion, the time-average approximation, the frequency-domain equalizer, and the frequency-domain matched lter approximation are tabulated in Table5 for a single equalization iteration. An approximate total op count as a function of the num- ber of separable channel multipaths for a 4 4 MIMO setup is also depicted in Fig.... ..."
Table 1: Computation time comparison (Sparc 20 workstation). SRM-FDTD: method used in this paper; SRM-FFT: Surface ribbon method [5] in frequency domain, then FFT applied; FM-FFT: Filament method [6, 10] in frequency domain, then FFT applied.
1997
"... In PAGE 3: ... Figure 4 compares the FDTD time domain calculation and FFT results using both the full dispersion curve and a simple Rdc-L-C transmission line model. Table1 compares the computation times required for various methods. Conclusions New time domain multiconductor transmission line equations including frequency dependent skin effect and proximity effect have been derived.... ..."
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