Sentence examples for system parameter values from inspiring English sources

The test system parameter values of the test system are given in appendix.

The lack of knowledge of several system parameter values gives rise to such systematics.

System parameter values are depicted in Table 1, which are based on the data from open channels or some inquiries.

Improvement obtained with the usage of dual-branch SC diversity is visible, since for the same system parameter values, significantly lower OP values are reached.

These models calculate capacitances for different liquids, varying electrode positions, and liquid layer thicknesses for a given set of system parameter values.

Table 1 System parameter values for Wi-Fi appliconsideredsineredeterminingining the optimal modulation level b. = 1 MHz G r = 1 = 1 L = 0.8 = 2.5 GHz  m K = 0.5 N 0 /2 = 10-16 W/Hz BER = 10-3 = 10 = 50 dB = 60 dB = 4.

Open image in new window Fig. 2 Computational model of LHTS unit Table 2 Dimensions of system Parameters Values (m) R i 0.015 R o 0.07 L 1 B 0.001.

Fig. 4 The phase modulation applied to the SLM in a time slot 1 and b time slot 2 Table 1 System parameters of the experiment System parameters Values Pixel size of SLM 32 × 32 μm Active area of SLM 26.6 × 20.0 mm Display resolution of SLM 800 × 600 pixels Gray level of SLM 256 (8 bits) # of TDMA receivers 2 Separation distance of channels in SLM 14 mm.

The parameters governing PSO are summarized in Table 3. Table 2 Simulation parameters System parameters Values Number of BSsUTs 36 Number of antennas at BSUT 31 Shadow fading, γ S F N 0, 8  dB Pathloss model, γ S F (d in Kms) 128.1 + 37.6 · log10(d) Rayleigh fast fading, Γ C N 0, 1 BS antenna gain, G 9 dBi Correlation between antennas at BS, ρ 0.5 Number of channel realizations 104 Max.

Yet for many biochemical systems, parameter values and even the existence of interactions between some chemical species are unknown.

It is known that, in biological systems, parameter values may fluctuate over orders of magnitude, but discretization issues and stiffness arising in particular parameter generations made it difficult to consider larger uncertainty ranges in a timely manner.