It is developed a generalized geometric method for constructing exact solutions of gravitational field equations in Einstein theory and generalizations. Firstly, we apply the formalism of nonholonomic frame deformations (formally considered for nonholonomic manifolds and Finsler spaces) when the gravitational field equations transform into systems of nonlinear partial differential equations whi...

Carrier signal detection is a complicated and essential task in many domains because it demands quick response to the existence of several carriers wideband, while also precisely predicting each carrier signal’s frequency centers bandwidths, including single-carrier multi-carrier modulation signals. Multi-carrier signals, such as FSK OFDM, could be incorrectly recognized signals by using spectr...

SnowShoes-FTD, developed for fusion transcript detection in paired-end mRNA-Seq data, employs multiple steps of false positive filtering to nominate fusion transcripts with near 100% confidence. Unique features include: (i) identification of multiple fusion isoforms from two gene partners; (ii) prediction of genomic rearrangements; (iii) identification of exon fusion boundaries; (iv) generation...

Fusion frames are generalizations of classical frames that provide a richer description of signal spaces where subspaces are used in the place of vectors as signal building blocks. The main idea of this work is to extend ideas from Compressed Sensing (CS) to a fusion frame setup. We use a sparsity model for fusion frames and then show that sparse signals under this model can be compressively sa...

It is very hard for traditional Camshift to survive of drastic interferences and occlusions of similar objects. This paper puts forward an innovative tracking method using Camshift with multi-feature fusion. Firstly, SIFT features and edge features of the Camshift in RGB space are counted to reduce the probability of disruption by occlusion and clutter. Then, the texture features are collected ...

In this paper we propose a novel approach to the pixel level fusion of spatially registered image sequences. This fusion method incorporates a shift invariant extension of the discrete Wavelet Transform, based on the concept of Wavelet Frames which yields an overcomplete signal representation. The advantage of the proposed fusion method is the improved temporal stability and consistency of the ...

OBJECTIVE To construct four recombinant Lactococcus lactis strains exhibiting high beta-galactosidase activity in fusion or non-fusion ways, and to study the influence factors for their protein expression and secretion. METHODS The gene fragments encoding beta-galactosidase from two strains of Lactobacillus bulgaricus, wch9901 isolated from yogurt and 1.1480 purchased from the Chinese Academy...

Traditional visual place recognition (VPR), usually using standard cameras, is easy to fail due glare or high-speed motion. By contrast, event cameras have the advantages of low latency, high temporal resolution, and dynamic range, which can deal with above issues. Nevertheless, are prone failure in motionless scenes, while still provide appearance information this case. Thus, exploiting comple...

Nonlinear state estimation and fusion tracking are always hot research topics for information processing. Compared to linear fusion tracking, nonlinear fusion tracking takes many new problems and challenges. Especially, the performances of fusion tracking, based on different nonlinear filters, are obviously different. The conventional nonlinear filters include extended Kalman filter (EKF), unsc...