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Complex (imaginary) signals arise commonly in the field of communications in the form of time series in the complex space. In this work we propose a symbolic approach for such signals based on string kernels derived from a complex SAX representation and apply it to a challenging counting problem. Our approach, that we call cStrings, is within a Gaussian process regression framework and outperforms...
A Python computer program for calculation of distortion in the wide-band diode bridge track and hold amplifier (THA) is proposed. The computer program calculates the distortion of weekly nonlinear THA based on the KCL and the nonlinear-current method with an improved process. Simulations based on a commercially available 130 nm process technology are performed with the SpectreRF simulator. Comparative...
Support Vector Machine (SVM) is a machine learning theory based on statistical learning algorithms, SVM based on kernel function has lots of unique advantages on solving the small sample, nonlinear and high dimensional pattern recognition. This article al so uses BP neural networks, Support Vector Machine based on PSO algorithm and so on to be compared to identify propolis in Yunnan. Compared with...
Traditionally, vector data management in geographic information system (GIS) applications often relies on general purposed database systems. However, the strict ACID semantics kept by database systems are not always necessary for most GIS applications to handle data in read-only mode. With the increasing quantity of vector data, the semantics mismatch has been becoming a critical challenge in keeping...
In this paper, we propose a Java application interface on InfiniBand network, named Jdib, which provides a viable approach for Java applications to use RDMA semantics directly. Most functions in InfiniBand Verbs are implemented in Jdib, which provides the feasibility of building high-performance cluster applications in Java. Further, a JNIO-based mechanism is used to get rid of extra data copy between...
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