Liu Yuanpeng

A Novel Image Denosing Scheme via Combining Dual-tree Complex Wavelet Transform and Bandelets

In this paper, a novel image denosing scheme is proposed by applying 2D dual-tree complex wavelet transform (DTCWT) to the second bandelet transform. Compared with traditional discrete wavelet transform (DWT), the DTCWT has nearly shift invariant and directionally selective in two and higher dimensions important properties, which are suitable for image denoising. The bandelet transform has offer an asymptotically optimal representation for geometric images, but it lacks translation invariant. Firstly, the DTCWT is employed to obtain subands, and then bandeletization is implemented in each subband. During finding the best geometrical flow and optimal quadtree segment, the cost term of Lagrangian is confirmed by Bayes estimator. At last, Bayes soft-threshold shrinkage denoising in bandelet transform domain is implemented. The experiments show that the proposed denoising method has better results than several DTCWT-based methods for image with rich directional features. The denoised images recovered by the proposed scheme are visually more appealing.

Application of BP neural network in welding joint data processing

This article gathered the welding current, welding voltage and column displacement moves parameters of the U71Mn rail welding process orthogonal test, and extracted the quality characteristic quantities of luminous time ratio, energy input, weld period and cremation quantity before accelerating preceding to input to the BP neural network forecast model to research the welding process research to the U71Mn rail. The test result indicated that the welding process parameter conformed to the railroad standard stipulation, and played certain instruction role in the project practical application.

Optimization calculation about control force of trajectory corrected projectile

In this paper, trajectory correction of canard control anti-aircraft shells is researched. After launch, once targets make circumvent flight, we must adjust projectile control force to correct ballistic. Projectile free flying model and control flying model are established. Target Initial flying model and maneuvering flying model are assumed. According to the models of projectile and target, appropriate optimizing algorithm is selected, control force of projectile is optimizing calculated. We can draw the conclusion that the optimization algorithm is feasible.