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The Lifting Scheme provides us a flexible and easy way for constructing wavelet, which enables us to construct wavelet according to application needs. Its flexibility allows us to introduce nonlinearity into wavelet and modify it based on signal processed. The Adaptive Lifting Scheme provided the way of adjusting the filters via updater U and predictor P in lifting stages according to signal characters...
A huge number of routing protocols have been proposed for ad hoc networks to improve the networks' performance. Because of the large number of designs, it's difficult to track all the designs and choose the optimal protocol for an ad hoc network under various scenarios. Fortunately, a novel architecture named Orchestra has been proposed by Dr. Yaling, Virginia Tech, USA. The architecture decomposed...
In this paper, we extend the neural network based approaches, which can asymptotically compute the largest or smallest eigenvalues and the corresponding eigenvectors of real symmetric matrix, to the real antisymmetric matrix case. Given any n-by-n real antisymmetric matrix, unlike the previous neural network based methods that were summarized by some ordinary differential equations (ODEs) with 2n...
This paper presents the probabilistic logic model to compute the probability distribution of the nano gate states. The characterization is based on the Markov random field and statistic physics. The primary logic gates are probabilistically characterized. The effectiveness of the method is demonstrated by a full adder and an 8-bit adder. The analysis shows that the device probability distribution...
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