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您的检索式：作者名="Ke Dengfeng"
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| 1 | Study on Extraction and Separation of Dihydromyricetin from Vine Tea [Ampelopsis grossedentata(Hand-Mazz) W. T. wang]显示文摘Ampelopsis grossedentata(Hand-Mazz) W. T. wang is a typical edible plant with important physiological health functions. Dihydromyricetin is the main active ingredient of A. grossedentata, which has good pharmacological effects such as antibacterial, anti-inflammatory, anti-oxidation, anti-tumor and liver protecting effects. This paper summarized the research progress on the extraction materials, extraction methods and separation and purification processes of dihydromyricetin in A. grossedentata to understand the best experimental method of dihydromyricetin, aiming to provide an important theoretical basis for the comprehensive development and utilization of dihydromyricetin. | Zhen KE Hua ZHU Shian ZHONG Dengfeng ZOU | 2020 | Agricultural Biotechnology2020，9，1： | 3 |
| 2 | Sparse Representation Based Image Super-resolution Using Large Patches显示文摘This paper addresses the problem of generating a high-resolution image from a low-resolution image. Many dictionary based methods have been proposed and have achieved great success in super resolution application. Most of these methods use small patches as dictionary atoms, and utilize a unified dictionary pair to conduct reconstruction for each patch, which may limit the super resolution performance. We use large patches instead of small ones to combine a dictionary and to conduct patch reconstruction. Since a large patch contains more meaningful information than a small one, the reconstruction result may have more high frequency details. To guarantee the completeness of the dictionary with large patch, the scale of the dictionary should be large as well. To handle the storage and calculation problems with large dictionaries,we adopt a binary encoding method. This method can preserve local information of patches. For each patch in the low-resolution image, we search its similar patches in the low-resolution dictionary to obtain a sub-dictionary. We compute its sparse representation to get the corresponding high-resolution version. Global reconstruction constraint is enforced to eliminate the discrepancy between the SR result and the ground truth. Experimental results demonstrate that our method outperforms other super resolution methods, especially when the magnification factor is large or the image is blurred by white Gaussian noise. | LIU Ning ZHOU Pan LIU Wenju KE Dengfeng | 2018 | Chinese Journal of Electronics2018，27，4： | 1 |
| 3 | Steganography algorithm for adaptive multi-rate wideband speech based on algebraic codebook search显示文摘With the popularity of adaptive multi-rate wideband( AMR-WB) audio in mobile communication,many AMRWB based techniques,such as a similar compression architecture to transmit secret information during the process of compression,were proposed to transmit covert messages. However,if a sender does not have the original waveform audio format( WAV) audio,the architecture cannot be used. In this paper,a new covert message method,which takes effect after WAV audio is compressed into AMR-WB speech,is proposed. This method takes advantage of algebraic codebook search. Aiming at improving speed and reducing search space,it does not perform algebraic codebook search using the optimal search algorithm,and it does not reach the positions of non-zero pulses via depth-first tree search that characterizes the energy of audio. According to the features of search methods and the codebook index construction, every track in each subframe is analyzed to find the proper positions for embedding secret information. Experimental results show that the proposed method has satisfactory capacity and simplicity regardless of compression process. | Ruan Ye Xu Yanyan Ke Dengfeng Su Kaile | 2018 | The Journal of China Universities of Posts and Telecommunications2018，25，3： | 0 |
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