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In this paper, we study the 2-adic complexity of Whiteman's generalized cyclotomic sequences of order 4 with length pq, where p, q = 1 (mod 4) are distinct primes. We prove that the 2-adic complexity of this class of sequences is lower bounded by pq − p − q − 1.
We propose a novel method for the demosaicing of event-based images that offers substantial performance improvement of far-distance gesture recognition based on deep Convolutional Neural Network. Unlike the conventional demosaicing technique using the spatial color interpolation of Bayer patterns, our new approach utilizes spatiotemporal correlation between pixel arrays, whereby timestamps of high-resolution...
For preventing the effects of sea ice bring the serious negative impact on the maritime transport, a full-scale detection of sea ice should be performed. The BeiDou GEO satellites could provide stable geometry and better coverage in mid- and low-latitude region where most of the sea ice occur. Based on this consideration, this paper evaluates the usage of BeiDou GEO Satellites reflected signals for...
By scrutinizing local propagation characteristics of damage-modulated guided waves (GWs), an in-situ health diagnosis technique, targeting in-service engineering structures, is developed. This technique characterizes structural damage quantitatively, regardless of its quantity, and consequently evaluates structural integrity in a real-time manner. A self-contained system is accordingly configured...
Peer review problem is widely applied in query answering, making research grants, article judgment and other situations. The existing researches treat this problem as either an information retrieval or an optimization problem. However, various constraints often been ignored through information retrieval methods. And the maximization matching scores is computed subjectively. Consequently, we introduce...
This paper makes an analysis of the restriction factors in the process of Cultivating Teacher's Practical Teaching Capability by the form of Questionnaire survey. First, using the factors analysis method, 22 restriction factors are extracted to 5 common factors which are the degree of teachers' acceptance factor to practical teaching, the factor about authorities to certify teacher's practical teaching...
This paper presents a concept of multi-sensor image registration based on local feature and its attributes set, which is realized according to the registration measure of feature attributes set. In this paper, we present an idea of gray gradient sequence method to describe the local feature in multi-sensor image. Based on the correlation of gray gradient sequence, the description of local feature...
This paper presents a fast fractal encoding approach based on correlation information feature. To reduce the computational complexity of fractal encoding, the definition of correlation information feature is introduced and used to convert range-domain block matching to nearest neighbor search in the feature space. Correlation information feature can reflect the blocks' structural characteristic well...
Ensemble empirical mode decomposition (EEMD) is a noise-assisted adaptive data analysis method to solve the mode mixing problem caused by empirical mode decomposition (EMD), which is a significant step of Hilbert-Huang Transform (HHT). In this paper, a novel fast EEMD preferences algorithm called Quasi-Gradient Search (QGS) is proposed. For a given ensemble number, we first apply Nonlinear Correlation...
Aiming at the problems of the wear condition monitoring, grey theory and auto-regressive combination forecasting model was put forward, and the combination model was build. The rough trend of the wear particle content change can be reflected through grey theory, and the detail of the change can be reflected through auto-regressive model. By testing and comparing a set of Ferro graphic data, the result...
Mutual information (MI) has obvious potential for feature selection, but this has not been fully exploited in the past. In order to make numerical computation easier and more accurate, the MI of the whole multi-dimensional data can be decomposed into an amount of one-dimensional MI and one-dimensional conditional MI components. This paper reveals that using one-dimensional MI components to replace...
Many feature selection methods have been proposed in recent years, but there is little work concerning the evaluation of the performances with respect to different feature selection methods especially when the ground truth map is unavailable. In this paper, a new method called quantitative multivariate correlation analysis (QMCA) is proposed, which provides a quantitative measure of the useful information...
Performance evaluation method that can compare and analyze different fusion techniques is an essential part in the development of image fusion techniques. This paper mainly discusses the applications and restrictions of performance evaluation metrics such as statistics feature related, information theory related, correlation information entropy, information deviation and etc. Accurate and effective...
A programmable real-time system based on DSP and FPGA for the image object tracking is proposed. The high-performance fixed-point DSP TMS320DM643 as kernel processor is suitable for processing video signal. This paper presents in detail the work flow of the solution, the function and principle of components, such as preprocessing and OSD FPGA, the external memory interface, the transport and control...
Image fusion is becoming one of the hottest techniques in image processing. The paper proposes a shared chain mutual information concept to quantitatively and objectively evaluate the performances of difference image fusion techniques. Furthermore, the performances of two widely used image fusion techniques, i.e. wavelet transform based fusion and pyramid transform based fusion operating on a typical...
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