This paper investigates a unified theory to derive vector network analyzer calibration algorithms based on the T-matrix representation, by which means the line-reflect-match (LRM), line-reflect-match-match (LRMM), and the line-reflect-reflect-match (LRRM) calibrations are formulated. The proposed calibration theory is more general than other versions of LRM, LRMM, and LRRM in that an arbitrary ...

This paper briefly describes the systems presented by the Software Technologies Working Group (http://gtts.ehu.es, GTTS) of the University of the Basque Country (UPV/EHU) to the Spoken Web Search (SWS) task at MediaEval 2013. GTTS systems consist of four main modules: (1) feature extraction; (2) speech activity detection; (3) DTW-based query matching; and (4) score calibration and fusion. The m...

This paper concerns the problem of matrix completion, which is to estimate a matrix from observations in a small subset of indices. We propose a calibrated spectrum elastic net method with a sum of the nuclear and Frobenius penalties and develop an iterative algorithm to solve the convex minimization problem. The iterative algorithm alternates between imputing the missing entries in the incompl...

The accuracy of magnetic measurements performed by autonomous vehicles is often limited by the presence of moving ferrous masses. This work presents a parameterized ellipsoid field calibration method for magnetic measurements in the sensor frame. In this manner, the ellipsoidal calibration coefficients are dependent on the locations of the moving masses. The parameterized calibration method is ...

This paper presents a calibration approach for an integrated measurement system of camera and laser. Via measuring the coordinates of special points in both of camera and laser coordinate systems, and performing a simple matrix calculation, the sensor transformation parameters of the integrated system are identified. In order to apply the integrated system to the mobile robot measurement system...

A simple, but eeective, method of calibrating a multi-manipulator robotic system is introduced. The algorithm uses precisely machined calibration plates which are inexpensive to manufacture and requires no measuring instrumentation. The kinematic model parameters are solved by taking advantage of the fact that the homogeneous transformation around a closed chain equals the identity matrix and d...

A simple method for multiple camera calibration based on a novel geometric derivation is presented. The main advantage of this method is that it uses only three points in the world coordinate system to achieve the calibration. Rotation matrix and translation vector for each camera coordinate system are obtained via the given distance between the vertices of the marker triangle formed by the thr...

We present an iterative algorithm for calibrating vector network analyzers based on orthogonal distance regression. The algorithm features a robust, yet efficient, search algorithm, an error analysis that includes both random and systematic errors, a full covariance matrix relating calibration and measurement errors, 95% coverage factors, and an easy-to-use user interface that supports a wide v...

This paper introduces a novel linear algorithm for determining the aane calibration between two camera views of a dynamic scene. The aane calibration is computed directly from the fundamental matrices associated with various moving objects in the scene, as well as from the fundamental matrix for the static background if the cameras are at diierent locations. A minimum of two fundamental matrice...