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In order to allocate registers efficiently for predicated code, a new algorithm based on Predicate Analysis System is presented, which uses binary decision diagrams for constructing refined interference graph. The algorithm is implemented in the compiler of XXX-DSP/700 chip developed byour college. Experiment results show that the number of used registers is reduced 24.51% evenly, and the average speedup of code execution time reaches 1.31.

Abstract-This paper is concerned with the controller design problem for a class of networked main stream temperature control system with long random time delay and packet losses. To compensate the effect of time delay and packet losses, a gainscheduling based Smith-PID controller is proposed for the considered networked control systems (NCSs). Moreover, to further improve the control performance of NCSs, genetic algorithm is employed to obtain the optimal control parameters for gain-scheduling Smith-PID controller. Simulation results are given to demonstrate the effectiveness of the proposed methods.

Sleep EEG signals analysis is a hotspot of research recently, this paper, by using nonlinear dynamics theory knowledge, JSD algorithm and multi-scale JSD algorithm is proposed for some individual conscious period and NREM sleep stage I analyzed the research of EEG signals, and the use of SPSS statistical software to verify the veracity and reliability of the experiment, at the same time, with the error bar graph method to analysis the two different states of sleep EEG signals, the results show that both the JSD algorithm and the multi-scale JSD algorithm can effectively distinguish between awake and NREM sleep stage I of EEG signals, these two conditions' EEG signals exist significant differences, The algorithm we proposed can be further used in the study of sleep EEG in installment, which can also provide all kinds of disease diagnosis and treatment of sleep with effective auxiliary function, the research has important practical significance in the future.