In this paper a numerically efficient method for designing a nearly optimal variable fractional delay (VFD) filter based on a simple and well-known window method is presented. In the proposed method a single window extracted from the optimal filter with fixed fractional delay (FD) is divided into even and odd part. Subsequently, the odd part is discarded and symmetric even part of the extracted...

The study of reductive group actions on a normal surface singularity X is facilitated by the fact that the group AutX of automorphisms of X has a maximal reductive algebraic subgroup G which contains every reductive algebraic subgroup of AutX up to conjugation. If X is not weighted homogeneous then this maximal group G is finite (Scheja, Wiebe). It has been determined for cusp singularities by ...

Morowitz, Harold J. (Yale University, New Haven, Conn.), Mark E. Tourtellotte, and Mary E. Pollack. Use of porous cellulose ester membranes in the primary isolation and size determination of pleuropneumonia-like organisms. J. Bacteriol. 85:134-136. 1963.-Millipore filters were used in the primary isolation and sizing of a number of strains of pleuropneumonia-like organisms (PPLO). Maximal pore ...

ABSTRACT In this paper a novel structure for frequency masking based on a single filter is introduced. By using the proposed frequency masking approach the maximal sample frequency for narrow-band recursive digital filters is increased. This increase in sample frequency can be utilized either for faster filters or for lower power consumption by trading excess speed for low power. As the subfilt...

For every segmentation task, prior knowledge about the object that shall be segmented has to be incorporated. This is typically performed either automatically by using labeled data to train the used algorithm, or by manual adaptation of the algorithm to the specific application. For the segmentation of 3D data, the generation of training sets is very tedious and time consuming, since in most ca...

Negotiation has been extensively discussed in electronic commerce for decades. Recent growing interest in importing machine learning algorithm in electronic commerce has given increased importance to automated negotiation. A Tri-Training based algorithm was proposed to learn opponent’s negotiation preference. The process of negotiation was viewed as a proposal’s sequence which can be mapped int...

In this study we address the problem of training a neuralnetwork for language identification using both labeled and unlabeled speech samples in the form of i-vectors. We propose a neural network architecture that can also handle out-of-set languages. We utilize a modified version of the recently proposed Ladder Network semisupervised training procedure that optimizes the reconstruction costs of...

We consider a class of evolutionary variational inequalities arising in quasistatic frictional contact problems for linear elastic materials. We indicate sufficient conditions in order to have the existence, the uniqueness and the Lipschitz continuous dependence of the solution with respect to the data, respectively. The existence of the solution is obtained using a time-discretization method, ...

We propose a semi-blind method for separation of stereo recordings of several sources. The method begins with computation of a set of cancellation filters for potential fixed positions of the sources. These filters are computed from one-source-only intervals selected upon cross-talk detection. Each source in some of the fixed positions is canceled by the corresponding filter, by which the other...

The problem of nonlinear estimation is reexamined, and a new semi-parametric representation of uncertainty called the Biscay distribution is presented. The Biscay distribution is combined with the extended Kalman filter (EKF) and a new filtering paradigm called the Biscay distribution filter (BDF) is developed. The BDF is provably optimal for linear estimation and generalizes naturally to nonli...