Sentence examples for modulus and similarity from inspiring English sources

In this section, we consider the waveform design problem by minimizing approximation error accounting for constant modulus and similarity constraints.

In particular, we also find that both constant modulus and similarity constraints result in a loss of SINR.

Based on LS approach, we have designed the MIMO waveform to approximate the desired waveform covariance matrix by using CA accounting for constant modulus and similarity constraints.

Then, based on least square (LS) approach, we devise the waveform accounting for constant modulus and similarity constraints by the obtained waveform covariance matrix using cyclic algorithm (CA).

Then, based on least square (LS) approach, we exploit cyclic algorithm (CA) to design waveform under constant modulus and similarity constraints so as to approximate the obtained waveform covariance matrix.

In the following, based on the R computed by SDP-related technique, we will focus on the waveform synthesis under constant modulus and similarity constraints by exploiting Algorithm 1. Specifically, we fix the uncertainly parameter ε=0.04 for the following simulations.

Based on the mechanical model, we realized that mechanics parameter such as the uniaxial compressive strength, elastic modulus and poisson's ratio should be similar, to guarantee the mechanical similarity of outburst.

However, cases and controls had similar indentation modulus and hardness.

It was found that annulus and fibrous had similar storage modulus and loss modulus, which were greater than the nucleus.

Dimensional analysis and similarity.

Then, based on Least Square (LS) approach, we present the existing Cyclic Algorithm (CA) and a new Sequential Iterative Algorithm (SIA) to devise the waveform under a constant modulus constraint, and a similarity constraint to allow the designed waveform sharing the similarity feature with a given reference waveform.