Nearly all measurement systems employing digitization of analog data employ some variation on binary encoding, which is just a number system using base-2 (instead of the usual decimal, or base-10, system most engineers work with). The process of discretization of the analog voltage waveform involves encoding the voltage in some finite, digital representation. Todd, in Sensor Technologies for Civil Infrastructures, 2014 2.2.2 Digitization and encoding Overall, a population size of 100 is a robust choice for the multiobjective optimization.Įvaluation of the multiobjective optimization approach in the subsequent sections consider only the most efficient design namely, NSGA-II with real encoding, uniform selection, HUX, no mutation, and a population size of 100. For a more thorough search, optimization performance is degraded if the population size is too small. Thus, for the grid network, optimization is less efficient if the population is set too large for a less extensive search. This shows three iterations of an arithmetic encoder or decoder for the case of a system with two symbols in undersaturated conditions and significantly inferior to N=120 in oversaturated conditions. To help understanding of this process, consider the illustration in Figure 7.12. This poses some constraints on the operation in terms of finite wordlength effects and uniqueness, but also presents opportunities in terms of efficient implementations. In practical arithmetic coding systems, binary implementations are essential.
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