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In this paper, we propose adaptive weight matrix design and parameter estimation via sparse modeling to improve the recovery performance for MIMO radar.
We developed four treatment modules of increasingly complex support material (matrix) design, and pumped a synthetic wastewater through them for 16 weeks.
The modified Andreasen and Andersen model is employed for the concrete matrix design, and two pendulum impact set-ups are utilized in the experiments: "Charpy Impact Device" and "Modified Pendulum Impact Device".
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In this section, we focus on the source and relay beamforming matrices design and develop an iterative algorithm which is suboptimal for the general case but has a much lower computational complexity.
Subsequent substantial advances in experimental repair strategies (e.g., in material sciences including matrix design, topography and, surface functionalisation) have provided sufficient background knowledge to develop conduits for future clinical use.
In Section 4, we propose a measurement matrix design for 1D and 2D CS model using gradient decent algorithm.
This intriguing architecture, which integrates both electronic conductivity and buffering matrix design strategies, contributing to enhanced lithium storage performance.
In this section, we study the performance of the proposed jointly optimal source and relay matrix design for MIMO multi-relay systems with linear MMSE receiver.
To add the medicinal potential and large scale industrial fermentation of C. cicadae, present studies were conducted to optimize the antioxidant EPS and IPS production by one-factor-at-a-time method and orthogonal matrix design.
During the process, at first Statement of mission, internal factors matrix, external factors matrix, and internal external matrix are designed and prepared.
The optimization process was carried out using two-level full factorials and Doehlert matrix designs.
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