摘要
In this paper, a new parallel-by-cell approach to the undistorteddata compression based on cellular automaton and genetic algorithm is presented.The local compression rules in a cellular automaton are obtained by using a geneticevolutionary algorithm. The correctness of the hyper-parallel compression, the timecomplexity, and the relevant symbolic dynamic behaviour are discussed. In comparison with other traditional sequential or small-scale parallel methods for undistorteddata compression, the proposed approach shows much higher real-time performance,better suitability and feasibility for the systolic hardware implementation.
In this paper, a new parallel-by-cell approach to the undistorteddata compression based on cellular automaton and genetic algorithm is presented.The local compression rules in a cellular automaton are obtained by using a geneticevolutionary algorithm. The correctness of the hyper-parallel compression, the timecomplexity, and the relevant symbolic dynamic behaviour are discussed. In comparison with other traditional sequential or small-scale parallel methods for undistorteddata compression, the proposed approach shows much higher real-time performance,better suitability and feasibility for the systolic hardware implementation.
