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The determinant-based scheduling algorithm has the lowest computational complexity among the scheduling algorithms that are considered.
In practice, the method of choice is the cubature-based solution, which has the lowest computational complexity.
As Figure 15 shows, LC-K-Best decoder, LC-MMSE-IC, and MMSE-IC2 equalizers have the lowest computational complexity.
The mathematical analysis and the simulation results show that the LS estimator performs the worst of all methods and it has a lowest computational complexity, however.
Analysis shows that, among the compared algorithms the hybrid algorithm has the lowest computational complexity, followed by MAMA, with MSP being the highest.
For the proposed algorithm, we notice that matrix multiplication according to the first approach leads to the lowest computational complexity for.
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According to Table 6, this low computational complexity results in 91 % decrease in computation of compared to the IDCP.
Furthermore, they have low computational complexity, allowing for inexpensive hardware implementations.
Further, they have low computational complexity, allowing for inexpensive hardware implementations.
Therefore, with short horizons, a low computational complexity is expected.
The aim is an algorithm with sufficiently low computational complexity.
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