Aiming at the filter problem that exists when the input and output signal are both corrupted by noise, a robust total least square adaptive algorithm is proposed.

Aiming at the filter problem when the input and output signal are both corrupted by noise, a stable total least square adaptive algorithm is proposed in this paper.

An extension linear spectral model based on total least square algorithm is proposed,and iteratively abstract the better endmembers and physically based constrained algorithm with this model are presented.

Study on identifying error model of PIGA by total least squares method;

Polyline data compression using total least squares;

According to the pseudo linear combination structure of Volterra series model, by applying the principle of the total least squares identification, a total fully decoupled identification idea is revealed.

On the Application of Total Least Squares Method in Preliminary Orbit Determination;

A scheme utilizing is presented that energy method linearizes nonlinear equations which are acquired by modeling and the equations are solved by the total least squares.

It can accomplish better sidelobe suppression to use least square method and total least square method to design compression filter for line frequency modulation signal with little product of time and bandwidth.

An angle acquisition method is proposed in this paper based on Total Least Squares (TLS) estimation with phased array radar.

Using alternative iterative steps to solve the minimization problem, our algorithm is suitable for the total least square (TLS) method.

By learning the pre-known knowledge of the stray light outside of the earth region as well as extracting the high-order statistical eigenvalues of the designated objective areas, the stray light function matrix A can be calculated using the total least squares (TLS) method, which is applied to th.