Sentence examples for measurement matrix based from inspiring English sources
For comparison purpose, we also obtain the measurement matrix based on minimizing the block-coherence of the sensing matrix blocks.
Elad [29] designed the measurement matrix based on mutual coherence minimization using a shrinkage operation.
A measurement matrix based on Kronecker product is devised, and it has been proved in mathematical proof.
From the PSNR, the measurement matrix based on Kronecker product matrix is significantly better than the commonly used certain measurement matrice and is quite close to random matrix.
In general, the measurement matrix based on orthogonal matrix Kronecker product has the same image reconstruction accuracy of random measurement matrix and are as fast as the certainty measurement matrix.
The Bounded Multipath Component Reconstruction, as the example in Figure 2, is a reconstruction of a measurement matrix based on multipath components that are present over finite areas of space.
Figure 3 showed the prediction results of throat polyp patients under different random measurement matrices based on the proposed algorithm (Algorithm 1).
The process of measurement matrix construction based on orthogonal matrix Kronecker product is as follows: Φ = U c, : (7). 1. Choose orthogonal basis vectors.
According to (41), to optimize measurement matrix T based on minimizing μ(A) with respect to T, it is only needed to minimize μ(B) with respect to T. Therefore, the optimization problem becomes: widehat{boldsymbol{T}}= arg underset{boldsymbol{T}}{ min }{leftVert {left(boldsymbol{TH}right)}^Hboldsymbol{TH}-{boldsymbol{I}}_{N_r{N}_a}rightVert}_F^2 (42).
From the intensities detected at the two detectors placed after a polarizing beam splitter, I V (z ) and I H (z ), the depth dependent retardance values are obtained as The nondepolarizing nature of the backscattering measurement involved in OCT allows Jones matrix based analysis of the measured signals [ 17].
Moreover, we shall attempt to optimize the matrix based on QR decomposition, which could help to improve the incoherence between the measurement matrix and the sparse basis.
