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We present a mixed qualitative and quantitative approach and a method for complexity estimation.
The proposed method is compared with the conventional wavelets based method for complexity and performance.
In [10], a method for complexity controlling was proposed by limiting the number of coding decision tests and comparisons according to temporal correlations.
In this section, we describe the two designed countermeasures for multicarrier nonlinear channels: DPD and EQ. The parameter identification method applied to both techniques is presented, and, subsequently, we provide the method for complexity reduction based on a basis pursuit approach.
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As shown in [39], various methods for complexity reduction can be applied.
Problem Structuring Methods for Complexity, Uncertainty and Conflict.
Preliminary tests of various methods for complexity reduction and library representations were performed, and the PstI/ TaqI method was chosen for the development of DArT clone libraries for oat.
Although there is not a unique method for image complexity calculation, but there is a global agreement in classifying images by complexity.
This paper proposes a new method for the complexity measure aiming mostly at set points of a system.
In detail, this paper provides a new method for computational complexity reduction in t-norm operations extended on triangular type-2 fuzzy sets.
Nevertheless, in this work, we choose to use the PCA since it is a straight-forward method for the complexity reduction of the proposed signal model, while also providing nearly the same performance as CS when high modeling accuracy is required [42].
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