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Although many real-time implementations of particle filters have been proposed using parallel processing units [46, 47], it might be necessary for typical applications of nonlinear AEC (e.g., in mobile devices) to reduce the computational complexity to meet specific hardware constraints.
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Specifically, the main contributions of the paper include: (1) incorporation of a Genetic Algorithm in the AdaBoost training to optimize the detection performance given the number of Haar features; (2) a complexity control scheme to meet hard real-time deadlines; (3) a hardware pipeline design for Haar-like feature calculation and a system design exploiting several levels of parallelism.
These include measures of (1) "needs" for rehabilitation (complexity), (2) inputs provided to meet those needs (nursing and therapy intervention), and (3) outcome, including the attainment of personal goals as well as gains in functional independence.
This method enables the encoder to estimate the decoding complexity and choose the best inter prediction mode to meet the complexity constraint of the target decoding platform.
Disparities within and among foraging group responses to canopy cover, tree size and shrub cover emphasized the complexities in managing forests to meet biodiversity goals.
This problem has not only computing complexity but also engineering complexity, and it is more difficult to meet the challenge of practical application in engineering.
In order to meet these complexity demands, the QF protocol has been introduced.
The complexity of the systems required to meet this challenge present many opportunities for omissions or incorrect assumptions.
This extends the co-prime array and filtering to a joint spatio-spectral domain, thereby achieving high flexibility in array structure design to meet system complexity constraints.
during pre-1980s in spite of bulk, cost and complexity due to the abilities to meet zero leakage and resist core disruptive accident (CDA).
Therefore, it is important to consider the whole family system in order to meet the complexity of the situation.
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