Measurement of the light-scattering Mueller matrix of phytoplankton cultures resulted in a characteristic Mueller matrix much like that of seawater. Voss and Fry (1984) measured the scattering of polarized light by ocean water. We here report measurements of various phytoplankton cultures made to further our understanding of the ocean water measurements. To quantify changes in polarization due ...

We derive explicit and precise formulae for 3 by 3 error matrix of particle transverse momentum, direction and impact parameter. The error matrix elements are expressed as functions of up to fourth order statistical moments of the measured coordinates. The formulae are valid for any curvature and track length in case of negligible multiple scattering. The calculation is compared with formulae d...

Insulator fault may lead to the accident of power network, thus the on-line monitoring of insulator is very significant. Low rates wireless network is used for data transmission of leakage current. Determination of the measurement matrix is the significant step for realizing the compressed sensing theory. This article comes up with new sparse matrices which can be used as compressed sensing mat...

—Modulated Wideband Converter (MWC) is a type of theory to real-time sub-Nyquist sampling and recovery of sparse wideband analog signal with low computational overhead and efficient hardware implementation. However, the application and implementation of MWC are seriously disturbed by the measurement matrix mismatch problem caused by limited system bandwidth and inevitable nonlinearity of pract...

Abstract How to construct a suitable measurement matrix is still an open question in compressed sensing. A significant part of the recent work is that the measurement matrices are not completely random on the entries but exhibit considerable structure. In this paper, we proved that the symmetric Toeplitz matrix and its transforms can be used as measurement matrix and recovery signal with high p...

The incoherence between measurement and sparsifying transform matrices and the restricted isometry property (RIP) of measurement matrix are two of the key factors in determining the performance of compressive sensing (CS). In CS-MRI, the randomly under-sampled Fourier matrix is used as the measurement matrix and the wavelet transform is usually used as sparsifying transform matrix. However, the...

polymer-clay nano-composite materials, in which nano-meter thick layers of clay dispersed in polymer matrix, have generally higher mechanical properties than normal polymeric materials. a new three-dimensional unit cell model has been developed for modeling three constituent phases including inclusion, interphase and matrix. the total elastic modulus of nano-composite is evaluated.  numerical r...

In colocated multiple-input multiple-output (MIMO) radar using compressive sensing (CS), a receive node compresses its received signal via a linear transformation, referred to as measurement matrix. The samples are subsequently forwarded to a fusion center, where an l1-optimization problem is formulated and solved for target information. CS-based MIMO radar exploits the target sparsity in the a...

In this paper the state estimator is developed for the multi area power system with SCADA and PMU measurements using WLS method. The measurement jacobian matrix has been modified for the PMU measurements. The behavior of the elements because of the current measurements in the measurement jacobian matrix is examined for any possible ill-conditioning of the state estimator gain matrix. State esti...