From the description of the steps, we can see that the key of this algorithm is eigenvalue
decomposition of the covariance matrix and the selection of the decision threshold.
In this paper, we focus on the maximum ratio combining (MRC) diversity gain and outage capacity of single-input and multiple-output (SIMO) systems, and analyze the effects of the eigenvalue
estimation errors (due to limited channel samples) on the evaluations of the diversity gain and capacity of a SIMO system.
Reanalysis methods estimate the eigenvalues
and eigenvectors of a modified design without performing a full-order eigenvalue
A Discussion of Complex Eigenvalue
Analytical Methods as They Relate to the Prediction of Brake Noise," SAE Int.
This is followed by a discussion of the case of equivalence classes with two subdomain boundaries and a related generalized eigenvalue
The formulas derived here are consequences of the well-known formula for the derivative of a simple eigenvalue
with respect to an entry in a matrix (see exercise 1 on pg 305 ).
Since the seminal paper of von Neumann and Wigner , Schrodinger operators with embedded positive eigenvalues
have always played a special role in spectral and in scattering theory.
Since we, in this paper, deal with the improving of the algorithm to determine whether a quadratic eigenvalue
problem is definite or not, let us briefly summarize what has been done so far in the literature up to this point.
nxn], then system (15) solves the consensus problem if and only if1 is an algebraically simple eigenvalue
of A and is the unique eigenvalue
of maximum modulus.
0] is called an eigenvalue
of the operator A if there exists a non-zero element [y.
The zeros of (G, ) are eigenvalues
of A and multiset of eigenvalues
of A is called the spectrum of A .
The scree plot shows that the eigenvalue
of the first component is larger than that of the second, and that the second is larger than that of the third, and so on.
The first non-nule eigenvalue
v(M) of L is called the first eigenvalue
of the Oteklon problem and it is variationaly characterized lay:
Part III covers numerical methods for linear systems and eigenvalue
computation with a recent topics list.
For a real symmetric matrix M, the real number [lambda] is an eigenvalue
of a matrix M if there exists a nonzero vector x (termed a [lambda]-eigenvector) satisfying Mx = [lambda]x.