Blind symbol detection for mobile communications systems has been widely studied and can be implemented by using either adaptive or iterative techniques. However, adaptive blind algorithms require data of sufficient length to converge. Therefore, in a rapidly changing environment, they are likely unable to track the changing channels. In such a situation, one possible solution is to use iterati...

We track the density of extrinsic information in iterative turbo decoders by actual density evolution, and also approximate it by consistent Gaussian density functions. The approximate model is verified by experimental measurements. We view the evolution of these density functions through an iterative decoder as a nonlinear dynamical system with feedback. Iterative decoding of turbo codes and o...

Spectral analysis is a general modelling approach that enables calculation of parametric images from reconstructed tracer kinetic data independent of an assumed compartmental structure. We investigated the validity of applying spectral analysis directly to projection data motivated by the advantages that: (i) the number of reconstructions is reduced by an order of magnitude and (ii) iterative r...

begin{abstract} in this paper, we introduce an iterative method for amenable semigroup of non expansive mappings and infinite family of non expansive mappings in the frame work of hilbert spaces. we prove the strong convergence of the proposed iterative algorithm to the unique solution of a variational inequality, which is the optimality condition for a minimization problem. the results present...

The main objective of this paper, is to review the work already done related to channel estimation technique in OFDM system. Pilot base channel estimation algorithm i.e. block type, comb type etc. are discussed and also compared in terms of their simplicity, computational cost and suitability conditions. After comparison with known techniques i.e. decision directed-Kalmanbased estimation, Maxim...

BACKGROUND AND PURPOSE Improved image quality is clinically desired for contrast-enhanced CT of the neck. We compared 30% adaptive statistical iterative reconstruction and model-based iterative reconstruction algorithms for the assessment of image quality of contrast-enhanced CT of the neck. MATERIALS AND METHODS Neck contrast-enhanced CT data from 64 consecutive patients were reconstructed r...

We present an improved algorithm for detection of the received signal of a convolutionally encoded wireless MIMO system. The method is based on BLAST (Bell-Labs Layered Space-Time) algorithm with successive interference cancellation. Compared to existing solutions, cancellation is done adaptively. The receiver uses an MAP soft output demapper combined with an iterative (Turbo-) decoder. Adaptiv...

This paper deals with the analysis of a third-order tensor composed of a fourth-order output cumulants used for blind identification of a second-order Volterra-Hammerstein series. It is demonstrated that this nonlinear identification problem can be converted in amultivariable system with multiequations having the form of Ax By c. The system may be solved using several methods. Simulation result...

begin{abstract} in this paper, we introduce an iterative method for amenable semigroup of non expansive mappings and infinite family of non expansive mappings in the frame work of hilbert spaces. we prove the strong convergence of the proposed iterative algorithm to the unique solution of a variational inequality, which is the optimality condition for a minimization problem. the results present...