This article mainly is the top-hat algorithm which is applied to medical image to gray image processing, according to different image, take different gray value, in order to achieve the different disease case image pr...
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This paper studies consensus control problems for a class of second-order multi-agent systems without relative velocity measurement. Some dynamic neighbour-based rules are adopted for the agents in the presence of ext...
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This paper studies consensus control problems for a class of second-order multi-agent systems without relative velocity measurement. Some dynamic neighbour-based rules are adopted for the agents in the presence of external disturbances. A sufficient condition is derived to make all agents achieve consensus while satisfying desired H∞ performance. Finally, numerical simulations are provided to show the effectiveness of our theoretical results.
This paper addresses the signal matrix synthesis in the multi-input-multi-output(MIMO) dualfunction system aimed at obtaining the desired radar beampattern while embedding communication symbols into the permutation ma...
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This paper addresses the signal matrix synthesis in the multi-input-multi-output(MIMO) dualfunction system aimed at obtaining the desired radar beampattern while embedding communication symbols into the permutation matrix of each pulse. To this end, transmit beampattern peak mainlobe to sidelobe level ratio(PMSR) is considered the figure of merit. Besides, the phases of the codebook induced by the designed weight vectors impinged on the directions of the communication receivers and eavesdroppers are restricted to be uniformly distributed and totally the same, respectively. To handle the resulting design problem, an iterative algorithm is devised to account for the coupled quadratic fractional programming objective function with multi-equality constraints, capitalizing on the alternating direction method of multipliers(ADMM) framework. As to the demodulation process for permutation learning, a novel algorithm based on the alternating direction penalty method(ADPM) framework is proposed to handle the mix-boolean optimization problem with the correlation between the communication dictionary and permutation of the received filtered data maximized. Finally, numerical results highlight the effectiveness of the conceived algorithms in comparison with the existing counterparts.
Fluorescence analysis applied in the study of lactic acid bacteria (LAB) provides a new method and theory to study probiotics and realize the detection and identification of the strains. It is also possible to achie...
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Fluorescence analysis applied in the study of lactic acid bacteria (LAB) provides a new method and theory to study probiotics and realize the detection and identification of the strains. It is also possible to achieve automation and computerization. In this letter, the differences between the fluorescence spectra of lactobacilIus casei-BDI (Lc-BDI) and Streptococcus thermophilus (St) are shown, and the second-order derivative spectra are used to further study the diversity of these two strains. According to the results, with the excitation wavelengths of 285 and 340 nm, there are significant differences between them. The experiment is repeated for 6 times, showing good repetitiveness.
An abundance estimation algorithm based on orthogonal bases is proposed to address the problem of high computational complexity faced by most abundance estimation algorithms that are based on a linear spectral mixing ...
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An abundance estimation algorithm based on orthogonal bases is proposed to address the problem of high computational complexity faced by most abundance estimation algorithms that are based on a linear spectral mixing model(LSMM) and need to perform determinant operations and matrix inversion operations. The proposed algorithm uses the Gram-Schmidt method to calculate the endmember vector set to obtain the corresponding orthogonal basis set and solve the unmixing equations to obtain the eigenvector of each endmember. The spectral vector to be decomposed is projected onto the eigenvector to obtain projection vector, and the ratio between the length of the projection vector and the length of the orthogonal basis corresponding endmember is calculated to obtain an abundance estimation of the endmember. After a comparative analysis of different algorithms, it is concluded that the proposed algorithm only needs to perform vector inner product operations, thereby significantly reducing the computational complexity. The effectiveness of the algorithm was verified by experiments using simulation data and actual image data.
Human-machine interaction and computational neuroscience have brought unprecedented application prospects to the field of medical rehabilitation, especially for the elderly population, where the decline and recovery o...
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Massive multiple input multiple output(MIMO)systems can increase capacity and reliability ***,extremely high hardware costs and computational complexity lead to the demand for reasonable antenna *** at the problem tha...
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Massive multiple input multiple output(MIMO)systems can increase capacity and reliability ***,extremely high hardware costs and computational complexity lead to the demand for reasonable antenna *** at the problem that the traditional antenna selection algorithm based on maximizing sum capacity has large complexity and worse bit error rate(BER)performance,a two-step selection algorithm is proposed,which selects a part of the antennas based on the norm-based antenna selection(NBS)firstly,and then selects the antenna based on maximizing capacity via convex *** simulation results show that the improved algorithm has better BER performance than the traditional *** the same time,it reduces computational complexity greatly.
Along with the massive applications of the non-linear loads and the impact loads, many non-stationary stochastic signals such as harmonics, inter-harmonics, impulse signals and so on are introduced into the electric n...
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Along with the massive applications of the non-linear loads and the impact loads, many non-stationary stochastic signals such as harmonics, inter-harmonics, impulse signals and so on are introduced into the electric network, and these non-stationary stochastic signals have had effects on the accuracy of the measurement of electric energy. The traditional method like Fourier Analysis can he applied efficiently on the stationary stochastic signals, hut it has little effect on non-stationary stochastic signals. In light of this, the form of the signals of the electric network in wavelet domain will he discussed in this paper. A measurement method of active power based on multi-resolution analysis in the stochastic process is presented. This method has a wider application scope compared with the traditional method Fourier analysis, and it is of good referential value and practical value in terms of raising the level of the existing electric energy measurement.
We report a novel anti-resonant hollow-core fiber (ARF) with a heptagonal core surrounded by connected cladding tubes, which is employed as a laser beam mode shaper. Cladding nodes are formed between each pair of adja...
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Taking the heat exchange tube in the condenser as the research object, the three-dimensional finite element model of the heat exchange tube and the Internal and external fluid of pipe is established, and the bidirecti...
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