Signal-Perturbation-Free Semi-Blind Channel Estimation forMIMO-OFDM Systems Feng Wan, Ph.D.Concordia University, 2009 Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) has been considered as a strong candidate for the beyond 3G (B3G) wirelesscommunication systems, due to its high data-rate wireless transmission performance.It is well known...

We discuss the resummation approach in QCD Analytic Perturbation Theory (APT). We start with a simple example of asymptotic power series for a zero-dimensional analog of the scalar g φ4 model. Then we give a short historic preamble of APT and show that renormgroup improvement of the QCD perturbation theory dictates to use the Fractional APT (FAPT). After that we discuss the (F)APT resummation o...

We consider perturbation of frames and frame sequences in a Hilbert space H. It is known that small perturbations of a frame give rise to another frame. We show that the canonical dual of the perturbed sequence is a perturbation of the canonical dual of the original one and estimate the error in the approximation of functions belonging to the perturbed space. We then construct perturbations of ...

We outline a method for extracting inertio-gravity wave parameters using the autospectra and cross spectra of the horizontal perturbation winds. In essence, we define a statistical hodograph for each spectral bin, thus combining the advantages of the rotary spectrum and hodograph methods. Furthermore, we include the effects of the background vertical shear in the parameter estimation equations,...

Sharing real-time traffic data can be of great value to understanding many important phenomena, such as congestion patterns or popular places. To this end, private user data must be aggregated and shared continuously over time with data privacy guarantee. However, releasing time series data with standard differential privacy mechanism can lead to high perturbation error due to the correlation b...

Model error sensitivity is an issue common to all high resolution direction of arrival estimators. Much attention has been directed to the design of algorithms for minimum variance estimation taking only finite sample errors into account. Approaches to reduce the sensitivity due to array calibration errors have also appeared in the literature. Herein, a weighted subspace fitting method for a wi...

Some methods for the convergence acceleration of the Møller-Plesset perturbation series for the correlation energy are discussed. The order-by-order summation is less effective than the Feenberg series. The latter is obtained by renormalizing the unperturbed Hamilton operator by a constant factor that is optimized for the third order energy. In the fifth order case, the Feenberg series can be i...

This paper is devoted to the problem of sampling Gaussian fields in high dimension. Solutions exist for two specific structures of inverse covariance : sparse and circulant. The proposed approach is valid in a more general case and especially as it emerges in inverse problems. It relies on a perturbation-optimization principle: adequate stochastic perturbation of a criterion and optimization of...

In pitch synchronous speech synthesis the analysis/synthesis of the speech is done at each glottal closure instant (GCI). The errors in estimation of GCI's affect the quality of the synthesized speech. The effect of random perturbations in the GCI's, obtained from the speech and from glottal signal from an impedance electroglottograph using Childers and Hu's algorithm on the quality of speech s...

Sliding mode control systems have been recognized to be robust in the presence of exogenous perturbations. For a sliding mode control design, a known upper bound of the perturbation is usually assumed. In this paper, we present an adaptive algorithm for the estimation of this upper bound, and consequently there is no need for the exact knowledge of this quantity. Moreover, we have applied the p...