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The equalization of constant amplitude signals is considered in the scope of this paper. A criterion based on the probability density function (pdf) of the signal of interest is proposed. The objective is to derive a suitable soft-decision scheme, more robust than the classical CMA algorithm that ensures recover ability of the signal.
In this paper, a new blind signal processing scheme for equalization in fading and impulsive-noise channel environments is introduced based on probability density function matching method and a set of Dirac-delta functions. Gaussian kernel of the proposed blind algorithm has the effect of cutting out the outliers on the difference between the desired level values and impulse-infected outputs. And...
Many real world problems which can be assigned to the machine learning domain are inverse problems. The available data is often noisy and may contain outliers, which requires the application of global optimization. Evolutionary Algorithms (EA's) are one class of possible global optimization methods for solving such problems. Within population based EA's, Differential Evolution (DE) is a widely used...
Generalized Nash equilibria (GNE) represent extensions of the Nash solution concept when agents have shared strategy sets. This generalization is particularly relevant when agents compete in a networked setting. In this paper, we consider such a setting and focus on a congestion game in which agents contend with shared network constraints. We make two sets of contributions: (1) Under two types of...
In this paper we consider the problem of constructing a distributed feedback law to achieve synchronization for a group of k agents whose states evolve on SO(n) and which exchange only partial state information along communication links. The partial state information is given by the action of the state on reference vectors in ??n. We propose a gradient based control law which achieves exponential...
This paper presents an effective SDM approach for the fast synthesis of shaped reflector. It uses the surface grid nodes as optimization variables. Closed form and continuous solutions of cost function's derivatives are developed and allows the surface varying smoothly while retaining the computational efficiency. Numerical examples validate the effectiveness of the work.
In this paper, we propose a new adaptive technique for blind multiuser equalisation. The proposed approach is based on fitting the probability density function (pdf) of the equalizer output to the desired pdf of the corresponding symbol alphabet. The underlying pdf at the equalizer output is estimated by means of the Parzen Window method. A switch between blind and Decision Directed adaptation is...
This paper presents two new methods for fast computation of phase-only weights for forming large sector nulls with phased array antennas. Both methods are faster than a previously described method. An example case demonstrates that the computation time can be reduced by a factor of 10 or 100 with the new methods over the previous method. No restrictions are placed on array geometry, element spacing,...
In this paper we are interested in non-negative matrix factorization (NMF) with the Itakura-Saito (IS) divergence. Previous work has demonstrated the relevance of this cost function for the decomposition of audio power spectrograms. This is in particular due to its scale invariance, which makes it more robust to the wide dynamics of audio, a property which is not shared by other popular costs such...
We consider a discrete time stochastic queueing system where a controller makes a 2-stage decision every slot. The decision at the first stage reveals a hidden source of randomness with a control-dependent (but unknown) probability distribution. The decision at the second stage incurs a penalty vector that depends on this revealed randomness. The goal is to stabilize all queues and minimize a convex...
This paper presents a new efficient approach to economic dispatch (ED) problems with smooth and non smooth cost functions using a particle swarm optimization (PSO) technique. The practical ED problems have nonsmooth cost functions with equality and inequality constraints that make the problem of finding the global optimum difficult using any mathematical approaches. In this paper a modified random...
A parallel textured algorithm, the sufficient conditions for the algorithm to converge to its true solution and its proof are described in our earlier papers [1]-[2]. In this paper, we provide some examples to illustrate the basic ideas behind the exact convergence conditions, and show when they will be violated and how the violations impact on the convergence.
Nonlinear programming is applied to identifier design for linear system. How to choose the gradient method and quadratic cost function is discussed. New concept of time-varying nonlinear programming is introduced.
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