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This paper defines the SIFT-like features by analogy and proposes a novel method to accelerate its matching process. The acceleration strategy is to compute a characteristic value for each key point descriptor and divide a key point set into different subsets making use of this value. The approximate nearest neighbor (ANN) search method is applied to improve the efficiency of matching. The performance...
Big data is a broad data set that has been used in many fields. To process huge data set is a time consuming work, not only due to its big volume of data size, but also because data type and structure can be different and complex. Currently, many data mining and machine learning technique are being applied to deal with big data problem; some of them can construct a good learning algorithm in terms...
For the code tracking loop, two new code phase discriminator algorithms based on DLL structure were proposed. The performances of the two algorithms were studied by using theoretical method and experimental method with analog IF signal data and actual IF signal data respectively. The experimental results indicate that both the two algorithms discriminate and track the code phase offset effectively...
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