Sentence examples for bits as a function from inspiring English sources

Figure 5 The optimum number of quantization bits as a function of SNR.

Figure 4 The throughput pre-constant (in bits) as a function of the number of quantization bits Q.

From (9) we can derive the Signal-to-Noise Ratio (SNR) for low priority bits and high priority bits as a function of space ratio and the target bit error rate for high priority bits and low priority bits: (10).

From (26) we can derive the Signal-to-Noise Ratio (SNR) for low priority bits and high priority bits as a function of space ratio and the target bit error rate for high priority bits and low priority bits over flat Rayleigh fading channel: (27).

However, we can examine the problem in that situation from the numerical viewpoint which are shown in Figures 7 and 8. Figure 7 The optimum number of quantization bits as a function of SNR. Figure 8 The optimum pre-constant value as a function of SNR level.

The value of −65 dBm is selected as the threshold level for OSS, because this level provides the best throughput performance among the 8 levels in Table 2. Figure 8 shows the changes of the channel condition (in Rx Power), the transmission rate (in Tx rate), and the feedback bit as a function of time.

Figure 2 Theoretical and simulated performance of ML bit synchronization as a function of signal strength.

Figure 11 Simulated and real performance of ML bit decoding as a function of signal strength.

Figure 6 Simulated and real performance of ML bit synchronization as a function of signal strength.

Figure 5 Simulated performance of ML bit synchronization as a function of signal strength.

Figure 9 RLS-lattice MERRY achievable bit rate as a function of the delay parameter and the TEQ order ( L ~ w ).