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The DFTCOMM method outperforms the existing competing pruning techniques in the sense of attainable savings in the number of required arithmetic operations.
Experimental results have indicated that this scheme outperforms many commonly used techniques in the sense of SNR improvement and music effect reduction which is an inevitable byproduct of the spectrum subtraction algorithm.
The addressed methodology unifies the commuting, filtering, and pruning paradigms yielding the new DFTCOMM method that outperforms the existing competing pruning-decomposition-based techniques in the sense of attainable savings in the number of required arithmetic operations.
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There are lots of techniques that have been developed in the sense of (CC).
In Section 4, comparisons among the developed unified commutation-pruning technique and other competing algorithms in the sense of savings in the number of required arithmetic operations are presented and featured.
An effective technique based on fractional calculus in the sense of Riemann Liouville has been developed for solving weakly singular Volterra integral equations of the first and second kinds.
Furthermore, by utilizing the existing LMI optimization technique, a suboptimal controller is obtained in the sense of minimizing an upper bound of H2 performance.
The proposed schemes are based on pairwise optimal weight realization (POWER) technique, thus realizing a "best" strategy (in the sense of pairwise and worst-case optimization) to use multiple-state information obtained by preprocessing.
Moreover, by using the existing LMI optimization techniques, a suboptimal fuzzy observer-based controller in the sense of minimizing the cost bound is proposed.
We feature that, in the sensing scenarios with sparse/non-sparse data Fourier spectrum, the DFTCOMM technique manifests robustness against such model uncertainties in the sense of insensitivity for sparsity/non-sparsity restrictions and the variability of the operating parameters.
The adaptive tuning laws of network parameters are derived in the sense of quadratic stability technique and Lyapunov synthesis approach to ensure the network convergence and H∞ synchronization performance.
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