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In this paper, a precise and intelligent deconvolution process is developed in order to further extend its applications in discovering bearing faults and characteristics. A new index, harmonics-to-noise ratio (HNR), is introduced to extract the period. At the same time by combining HNR with the characteristic of kurtosis which is sensitive to the impulsivity of the fault signal, a novel deconvolution...
Lightning stroke is the main cause of trip-outs of EHV and UHV transmission lines in China Southern Power Grid (CSG). In order to improving the lightning performance of overhead transmission lines, the lightning activities of CSG in 2006 to 2014 was analyzed. It indicates that the coastal Guangdong and Guangxi province are suffered more ground flashes, where the average ground flash density is over...
Aiming for the denoising problem for infrared image, a novel algorithm is presented based on mixed statistical model in nonsubsampled contourlet domain. The noise coefficients which affect infrared image quality are generally considered to obey Gaussian distribution in nonsubsampled contourlet transform domain. At the same time, the original signal coefficients have the features of sharper peak at...
In an OFDM-based cooperative relay system, the arrival times and carrier frequency offsets (CFOs) of the signals from different relays are most likely different. Estimation of these timing offsets and CFOs is a crucial and challenging task. In this paper, a new preamble structure is designed, and an efficient time and frequency offset estimator is proposed for the OFDM-based cooperative system. The...
Digital Video Broadcasting - Second Generation Terrestrial (DVB-T2) is a new standard used for the digital terrestrial television broadcast. Compared with the first generation DVB-T, it introduced various advanced technologies to improve system capacity and transmission reliability. One of the new designs in DVB-T2 is to use P1 symbol as the preamble to help the receiver to achieve fast synchronization...
Remaining useful life (RUL) estimation is an important part in modern prognostic and health management (PHM) approach. In this paper, a particular prognostic named similarity-based RUL estimation is proposed. In some complex condition, typical methods will perform inefficient, and in engineering application background, some traditional methods may be hard implemented. On the other hand, similarity-based...
With the merits as far responding distance, hiding receiving and easy-deploying, the single observation passive location has a broad application in military domain and plays an important part in passive radar, navigation and aerospace, etc. With the information of phase-difference, phase-difference rate of change and Doppler frequency rate of change, a new algorithm called PFRC, based on EKF, is proposed...
Sampling clock offset (SCO) could lead to a phase rotation and the Inter-Carrier Interferences (ICI), thus introduce an unacceptable BER in OFDM system. To estimate SCO, conventional methods rely on a known synchronization symbol or pilot symbols, which inevitably trim down the spectral efficiency of OFDM systems and are not available in non-cooperative communications. A novel blind estimation algorithm...
One trend of oil and gas prediction and evaluation is computer-aided quantitative approach. Aiming at complicated factors and numerous parameters of oil and gas resources estimation, the method with combination of geological analogy model and probabilistic model and corresponding flowcharts were introduced. The quantitative estimation process was performed by using Delphi method and Monte Carlo calculation...
EM (expectation-maximization) algorithm is a classical method for parameter estimation of HMM (Hidden Markov model ). Concerning that EM algorithm is easily affected by initial parameter values, we proposed a mixture splitting algorithm based on decision boundary confusion (DBC) to describe more about boundary distribution. The algorithm mainly includes three aspects: firstly the number of incremented...
A block adaptive Bayesian wavelet shrinkage is proposed in this paper to accommodate the reduction of a kind of two-dimensionally, signal amplitude-related contamination, which is taken place in some military and biomedical applications. Wavelet shrinkage conventionally works under the assumption of signal-independent, additive Gaussian noise. For the temporally Gaussian but spatially signal amplitude-related...
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