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The traditional transmitted reference (TR) autocorrelation receivers usually use noisy reference signals as the correlation template but the performance is heavily influenced. To avoid the drawbacks, a modified differential transmission reference receiver (MDTR) is proposed in this paper and its performance is also evaluated. The new receiving system generates a reference signal by combining two consecutive...
This paper indicates the simulation-mechanism-based classification method for Computational Intelligence through reviewing on the definitions of CI and the classification methods. Furthermore, the methods of organic mechanism simulation class are introduced in detail, by which the paper concludes the nonlinear mapping model for each branch. The work presented in this paper provides an efficient and...
An approach to the problem of autonomous mobile robot obstacle avoidance using reinforcement learning neural network is proposed in this paper. Q-learning is one kind of reinforcement learning method that is similar to dynamic programming and the neural network has a powerful ability to store the values. We integrate these two methods with the aim to ensure autonomous robot behavior in complicated...
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