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A novel vectorized method for the estimation of direction of arrival (DOA) and frequency of arrival (FOA) is presented in this paper for the uniform linear array (ULA). Firstly, a vectorized data form is employed to estimate the DOAs and FOAs at the same time. Then, based on the subspace methodology, the DOAs and FOAs can be matched quickly. By using orthogonal projection, the accuracy of the parameters...
A new method of direction finding based on the single channel array is proposed in this paper. By regularly adjusting the beamformer weights of the array, we can calculate corresponding output average power. After making different weighted average on these powers, we can construct a noiseless sparse representation model of the signal power. Then the problem of direction finding is converted into one...
Foreground object detection is an important area in computer vision research. It aims to detect, classify, and recognize object in video images. Real time video processing needs to deal with large amount of data. It is also computationally intensive. This paper presents the parallelization of foreground object detection algorithms on a polymorphous computer that is capable of data parallel, thread...
Here we present a droplet array platform named "flip-drop" that incorporates novel surface energy traps (SETs) to generate an array of droplets of combinatorial mixtures for bioanalytical screening. This droplet array platform is exemplified using a quantum-dot fluorescence resonance energy transfer (QD-FRET) sensing assay for detection of the RSF1 cancer biomarker.
In this paper, a multiple input multiple output (MIMO) scheme with spare antenna array is investigated for the case of high-speed railway scenario. Using a recently proposed criterion for maximizing MIMO system capacity, the antenna elements are designed to achieve subchannel orthogonality and hence the channel response is not rank deficient. Theoretical and numerical results validate that the MIMO...
The output of photovoltaic array has several corresponding local peaks of power-voltage curve with the existence of the shadow, In order to make the photovoltaic arrays continue to work in the maximum power point, need to create conditions for the model of the PV array, On the basis of the model, there are having some further detailed analysis and research about the characters of the local photovoltaic...
Multi-pattern matching with wildcards is to find all the occurrences of a set of patterns with wildcards in a text. This problem arises in various fields, such as computational biology and network security. But the problem is not extensively studied as the single pattern case and there is no efficient algorithm for this problem. In this paper, we present efficient algorithms based on fast Fourier...
Statistical analysis of massive data is becoming indispensable to science, commerce, and society today. Such analysis requires efficient, flexible storage support and special optimization techniques. In this demo, we present RIOT (R with I/O Transparency), a system that extends R, a popular computing environment for statistical data analysis. RIOT makes R programs I/O-efficient in a way transparent...
In this paper, a family of automata for weak factor recognition named weak factor automaton (WFA) is introduced. WFAs can at least recognize the factors of a word and have similar properties of the factor oracle. WFAs are not always acyclic and the acyclic WFA is equivalent to the factor oracle with redundant edges. Based on the same approach, a new weight automaton for precise full-text index is...
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