Sentence examples for matrix design using from inspiring English sources
In this paper, we introduce a 2D signal model in CS for a collocated MIMO radar with point targets, and then we improve the efficiency of this 2D MIMO radar model by proposing a measurement matrix design using gradient decent algorithm (MMDGD) in which the MC of sensing matrix is minimized.
The simulation results show that our proposed 2D measurement matrix design using gradient decent algorithm (2D-MMDGD) has much lower computational complexity compared to one-dimensional (1D) methods while having better performance in comparison with conventional methods such as Gaussian random measurement matrix.
High-pass filtering was implemented in the matrix design using a cut-off period of 256 seconds to remove low frequency drifts from the time series.
b, Flexible active-matrix design using SWCNTs as the channel material of the TFTs in OLEDs.
Moreover, MIMO processing matrices designed using the MMSE criterion do not have the same limitations as the MIMO processing matrices that are designed using the ZF criterion, i.e., that the total number of the antennas at the UTs is less than or equal to the number of the antennas at the BS/RN.
The gel microsphere matrix and the sintered microsphere matrix were designed using the random packing of poly(lactide-co-glycolide) microspheres to create a three-dimensional porous structure.
This paper proposes a projection matrix design method using the support set of the sparse signal estimated via previous measurements.
This paper proposes a projection matrix design algorithm using prior information on sparse signal to reduce local cumulative coherence, since small local coherence can improve the sparse signal recovery rate.
This paper provides a simple method to judge the feasibility of a design using matrix image.
Finally, the transform matrix is designed using the CCM estimation so that the processed training data behaves nearly stationary with the test cell.
In this scheme, the diffusion matrix is designed using local coordinate transformation and the feature broadening correction term is derived from energy function.
