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" Some Complexity Issues in Digital Signal Processing," P.R. Cappello and K. Steiglitz, IEEE Trans.
Nowadays, complexity issues in mass customized manufacturing are considered as topical problem.
Computational complexity issues in the field of discrete event system (DES) theory are due to the state space explosion problem.
Autopoietic automata offer a neat framework for investigating computational and complexity issues in the evolutionary self-reproducing processes.
We understand this topic in a broad sense, so as to include algebraic complexity theory, holographic algorithms, algorithms in number theory and arithmetic geometry, complexity issues in computer algebra, and a wide range of geometric and explicit approaches towards the permanent versus determinant problem and the complexity of matrix multiplication.
Complexity issues in the ecological aspects of chemical engineering are of two kinds: the mutual interactions of many multi-scale systems and the lack of consilience in the objectives of different disciplines that consider the economic, philosophical, cultural, and scientific and engineering aspects, respectively.
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Similar complexity issues appear in multiuser detection, where the minimum mean square error (MMSE) detector involves matrix inversions [18].
Prior implemented efforts towards practical NC[3, 7 9] have demonstrated throughput benefits at low transmission rates but have also discovered a series of complexity issues arising in such implementations.
From a theoretical perspective, it is not clear that any particular algorithm-dependent measurement will accurately reflect on true (text{OAS}) performance, nor that, given the complexity issues involved in accurately computing (V'), a fully accurate computational study of (text{OAS}) is possible except in very small networks.
The SDMA MIMO system model is described in Section 3, while the proposed MUDs based on ABC and PSO are explained in Section 4. Our simulation results are provided in Section 5, while the associated complexity issues are discussed in Section 6.
Initial analysis of the computational complexity of the SGP techniques indicates that the complexity issues with PAPR reduction in FBMC implementations can be addressed.
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