We analyze the operator product expansion Tμν(z)W [C] in N = 4 4-dimensional Super-Yang-Mills(SYM) theory with U(N) gauge group, and clarify that the closed Wilson loop does not possess an anomalous dimension and that only the shape of the loop is changed by the conformal transformation.

We will show how the theory of non-linear realisations can be used to naturally incorporate world line diffeomorphisms and kappa transformations for the point particle and superpoint particle respectively. Similar results also hold for a general p-brane and super p-brane, however, we must in these cases include an additional Lorentz transformation.

Robustness due to mismatched train/test conditions is one of the biggest challenges facing speaker recognition today, with transmission channel/handset and additive noise distortion being the most prominent factors. One limitation of the recent speaker recognition systems is that they are based on a latent factor analysis modeling of the GMM mean super-vectors alone. Motivated by the covariance...

An adaptive super-exponential algorithm for multichannel fractionally-spaced blind equalization is proposed. In the noise-free case, oversampling the received signal in space or time leads to a rank-deficient covariance matrix of the corresponding vector process. This seems to be the major obstacle towards a multichannel adaptive super-exponential algorithm. In the absence of additive noise, th...

On a supersymmetric sigma model the covariantly constant forms are related to the conserved currents that are generators of a super W-algebra extending the superconformal algebra. The existence of covariantly constant forms restricts the holonomy group of the manifold. Via duality transformation we get new covariantly constant forms, thus restricting the holonomy group of the new manifold. e-ma...

We present a non-linear model transformation for adapting Gaussian Mixture HMMs using both static and dynamic MFCC observation vectors to additive noise and constant system tilt. This transformation depends upon a few compensation coefficients which can be estimated from channel distorted speech via Maximum-Likelihood stochastic matching. Experimental results validate the effectiveness of the a...