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Moreover, the proposed best measurement solutions are positioned along the pellet production chain.
They were a consequence of a variety of factors, ideas, and proposed best practices that arose mainly in the context of the object-oriented programming community.
Gabriel [17] proposed best basis compressive sensing in a tree-structured dictionary, but some dictionaries (e.g., DFT matrix) do not possess a tree structure.
The proposed best practices intend to provide engineers with fast, reusable, and efficient means to assess performance virtually and enhance maturity, performance, and robustness.
The proposed best response-based algorithm converges under the same conditions for which the GNE is unique (stated in Proposition 5), which in turn requires the condition stated in Proposition 3 in order to have a non-empty solution set.
Here, we discuss some of the details and implications of previously proposed best practices and consider some new ones, focusing on preclinical studies relevant to human neurological and psychiatric disorders.
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This section studies the optimum design and performance analysis of sensing systems employing the newly proposed best-effort sensing policy.
Theorem 1 provides the theoretical foundation regarding the asymptotic equivalence between stochastic and deterministic energy sources, with the help of the newly proposed best-effort sensing policy.
Theorem 2 states that systems with the proposed best-effort sensing policy and stochastic energy sources can asymptotically achieve the same MSE performance as systems with the uniform sensing policy and deterministic energy sources, as long as the energy consumption for each sensing operation is not more than the average harvested energy in each sampling period.
In the next section, we will show that the asymptotic equivalence can be achieved in a practical sensing system, that is, the proposed best-effort sensing policy with stochastic energy sources can indeed asymptotically achieve the same MSE performance as the uniform sensing policy with constant energy supply.
However, due to asymptotic equivalence between the stochastic and deterministic energy sources as presented in Theorem 1, we will show in the next subsection that the proposed best-effort sensing policy can asymptotically achieve the same performance as the uniform sensing policy as N→∞.
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