Sentence examples for norm criterion from inspiring English sources

A norm criterion on Fourier coefficients can confirm a posteriori the accuracy of the solution branch.

This paper deals with the design of a reduced-order H∞ filter for a stochastic bilinear systems with a prescribed H∞ norm criterion.

Furthermore, we study the capacity performance of an analytical algorithm based on a Frobenius norm criterion when applied to both Rayleigh i.i.d. and measured MIMO channels.

For example, the estimation of scattering coefficient could select the following minimum norm criterion: σ ^ = arg min σ I σ = arg min σ S r, t − σX r, t = arg min σ ∑ r, t S r, t − σX r, t 2 (25).

For multiuser MISO single-carrier systems with linear precoding, the semi-orthogonal user selection algorithm to reduce the feedback load by combining the classical norm criterion and with a criterion based on the orthogonality between the co-channel users has been presented in[5, 6].

Our approach is based on the minimization of a weighted version of the l2-norm criterion.

It is known that the l2-norm criterion is highly sensitive to the outliers [4], i.e., the points having considerably larger norms of error.

It is clear that the weighted-l2 and also l1-norm criteria achieve higher level of sparsity compared to the classic l2-norm criterion.

The enhanced sparsity properties of the re-weighted l1-norm solution compared to the l1-norm minimization, and also the better performance of the l1-norm criterion compared to l2-norm criterion, can be explained numerically with the help of the graphical representation in Figure 1.

The algorithm realizes a finite impulse response system whose convolution profiles are designed on the basis of an H2-norm criterion which guarantees robustness, particularly with respect to electrical noise.

The induced ∞-norm criterion maintains the distance between the input signals and the estimated signals within a given bound for perfectly recovering the input signals, and the FIR structure makes the system robust against temporary uncertainties or disturbances.