This paper reports a Cellular Automata (CA) model for pattern recognition. The special class of CA, referred to as GMACA (Generalized Multiple Attractor Cellular Automata), is employed to design the CA based associative memory for pattern recognition. The desired GMACA are evolved through the implementation of genetic algorithm (GA). An eÆcient scheme to ensure fast convergence of GA is also re...

A concept for wideband electronic steered array using analogue FIR-filters has been formulated. This paper focuses on microwave applications, e.g. wideband antenna radiation pattern, where we explain the design of a desired radiation pattern for bandwidth 2:1. Therefore we consider a linear narrowband radiation pattern and expand it to a wideband array synthesis. The requirements for higher ban...

Associative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentation of a possibly noisy or incomplete version of an input pattern. In this paper, we introduce fuzzy swarm particle optimization technique for convergence of associative neural memories based on fuzzy set theory. An FPSO ...

Reduced rank (RR) linearly constrained minimum variance (LCMV) adaptive beamforming with quadratic pattern constraints (QPC) is applied to space-time adaptive processing (STAP) for airborne radar. The problem is formulated for general rank reducing transformations and main beam and sidelobe pattern control is achieved by imposing a set of inequality constraints on the mean-square error between ...