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Multi-pulse signals are composed of finite pulse streams of arbitrary pulse shape. With the pulse shape known, a multichannel sampling scheme for multi-pulse signals can operate at the rate of innovation, which is much lower than the Nyquist rate. The sampling system is based on low-pass filters, oscillators and integrators. By now there is no hardware to practice the approach. In this paper, we design...
In order to improve the image reconstruction quality of electromagnetic tomography (EMT), a new EMT image reconstruction method based on finite rate of innovation (FRI) is put forward in this paper. The FRI sampling process is used to extract the feature information and combined a new measurement equation. Firstly, the conductivity distribution of the target object inside pipeline is modeled as an...
In the last decade, it was shown that it is possible to reconstruct signals with finite rate of innovation (FRI signals) from the samples of their filtered versions. However, when noise is present, the present reconstruction algorithms tend to be low accuracy. In this work, a new sparsity-based reconstruction method for FRI signals is put forward. The streams of Diracs and exponential reproducing...
In view of low radar signal sorting accuracy in electronic support measures system (ESM), a new sparsity-based radar signal sorting method is put forward in this paper. Firstly, the pulse description words (PDW) of radar pulse sequence are analyzed and normalized, and then represented as a sparse linear combination of the sparse representation dictionary. Secondly, the sparse solution is calculated...
To overcome the shortcomings of low solution precision of the nonlinear constraint optimization problems, a new optimization algorithm based on the particle filter, which is used to solve nonlinear constraint optimization problems, is brought forward in this paper. And the model and mechanism of particle filter are combined in this optimization algorithm. Firstly, the basic principle of the particle...
Method based on modular fuzzy neural network were introduced. Rainfall prediction in May in Guangxi province as application background, in consideration of the tendency of equalization in cluster population using this method, presented an improved modular fuzzy neural network prediction model with effectiveness factors (MFNNef). Through comparisons between two methods' results, the feasibility of...
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