In this paper, a novel microwave bandpass filter with L-shaped structure is introduced, which belongs to a kind of artificial surface plasmon polaritons (SSPPs) type microwave bandpass filter. The filter adopts a symmetrical three-stage structure. The first section is a slot-line waveguide section, which realizes the input/output of microwave signals. The second section is a transition section, which adopts the impedance gradient structure to achieve a good connection with the third section. The third section is the SSPPs section composed of periodic symmetric trapezoidal groove structure and 90 degree bend structure. The passband width and stopband characteristics of the filter can be adjusted by adjusting the geometric size of the trapezoidal groove and its air gap, also the microwave subwavelength binding effect can be further improved, which makes the SSPPs filter more excellent in resisting spatial electromagnetic interference. The filter can be used in L~S band civil microwave communication system.
In order to address the detection and segmentation of partial blur for natural images,a no-reference and training-free algorithm was proposed.Firstly,the test image was re-blurred by a Gaussian low-pass filter.Secondly,the pixel-wise singular value decomposition within N×N neighborhoods for both the test image and the re-blurred image were conducted to obtain the ratio of the end singular value to all singular value.According to the ratio,the blurriness distribution function was structured and the blurriness distribution map was drawed.Finally,combined with the K-means clustering algorithm and the erosion and dilation operations, the test image could be segmented into blur region and clear region.Experiment results show that the proposed approach can effectively detect and segment the partial blur image and behave well at precision, recall and F-score.
Aiming at the problems of my country's current camellia fruit picking mainly relying on manual picking, large labor and low efficiency, the development and promotion of camellia fruit picking equipment and technology are discussed, and technical analysis is carried out for the design of camellia fruit picking robots. This article analyzes the characteristics and existing problems of camellia fruit picking, and analyzes the four major components of the picking robot: "end effector", "manipulator motion control system", "visual recognition positioning system" and "driving walking device". In summary, summarize the problems that have been solved, the results achieved, and the difficulties that still exist, so as to provide enlightenment for the subsequent exploration of the subject research of "camellia fruit picking robot".
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