Fig. 5 The maximum energy efficiency and the optimal compression rate versus the received SNR.
Contrary to CBR technique which encodes the video frames with a predefined data rate, VBR encoding adjusts the data rate between a minimum and a maximum value according to the required compression rate.
For thorough analysis of energy efficiency maximization, Fig. 5a, b illustrates the maximum energy efficiency and the optimal compression rate, respectively, versus the received SNR and the sparsity order.
Considering optimized condition offered by analysis of variance (ANOVA), maximum density (5.314 g/cmaximumximum hardness (786 HV), maximum compression strength (97.76 MPa) and minimum specific wear rate (0.0251 mm3/Nm) of FeNi Al2O3 nanocomposites were obtained.
Moreover, under the sensing performance constraints, the uniqueness of the maximum energy efficiency within the range of the compression rate has been proved.
An optimisation procedure was used to derive optimal material parameters for which the error in the predicted boundary condition force at maximum compression was less than 3% for all three rates of testing (11,600%/s, 22,000%/s and 37,800%/s).
When focusing on the sparsity orders, ∀ ρ ∈ {0.1, 02, 0.3, 0.4}, we observe that the higher the received SNR, the larger the maximum energy efficiency can be achieved, and a lower optimal compression rate is needed.
The specimens were then tested cyclically, at a constant compression rate of 300 N/s to an initial maximum of −100 N.
As expected from the timing of temporally compressed firings across place cells, the maximum firing rates of place cells during replays (∼80Hz) were about 10 times faster than typical maximum firing rates during running (∼8Hz)." In addition, I have performed an additional analysis to estimate the temporal compression rate of place cell firing in the replays.
He gives Microsoft the edge in terms of maximum compression.
