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Wide study and application exposes some problems of evolutionary algorithms such as premature convergence and poor performance in convergence. In order to overcome these issues, this paper proposes an adaptive co-evolutionary algorithm based on genotypic diversity measure, where adaptive selection, mutation and substitution operators are designed to realize cooperative search among operators and dynamic...
In this work, we study the eigen-structure of the data covariance matrix in an asynchronous CDMA system. Our results reveal the joint effect of spreading codes and power control on warp converging Wiener filters. We further provide suggestions on spreading code selection and power control strategy in CDMA system design, where stable and predictable early convergence of the reduced-rank conjugate gradient...
In this paper, we consider the feedback stabilization problem of impulsive linear control systems with quantized input signals and quantized output signals. Some concepts including quasi-invariant sets and attracting sets for hybrid impulsive quantized systems are investigated. Based on these concepts and the analysis of related dynamic properties, we propose hybrid quantized control schemes to stabilize...
This work studies the performance of a data-driven reduced rank scheme for rapid timing acquisition in multiple access communications. Our results show that when only a limited amount of preamble bits are available, instead of the true second-order statistics (SOS), the reduced rank scheme provides reliable timing information. Exploiting the structure of the multiple access interference, the data...
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