ID 原文 译文
21925 该算法利用经验模态分解，提出本征模态函数的有效性筛选条件，通过筛选本征模态函数，使得该算法能够处理含噪语音信号，同时分解所得单模态特性正好满足 TEO 算子对单成份能量跟踪的要求，最后利用 Hilbert 变换解决了可能存在的模态混叠问题。 Empirical Mode Decomposition (EMD) is further exploited and some valid choice conditions are constructed to choose the valid intrinsic mode functions. Thus, the method is able to deal with the voice with noise. Also, the character of the single mode of empirical mode decomposition meets the demand of single frequency component required by Teager Energy Operator (TEO). At last, Hilbert transform is added to solve the inherent problem of the mode mixing due to empirical mode decomposition.
21926 经过这些处理，算法能够处理语音信号中清音段的端点标识，比直接 TEO、双门限法效果好。 Based on the above consideration, the proposed method can identify the unvoiced sound with noise, which is better than the direct TEO and double threshold method.
21927 通过大量实验验证了该算法的有效性。 Experiments show the validity of the proposed method.
21928 为什么能够在格上构造全同态加密? Why can fully homomorphic encryption be constructed based on lattice?
21929 密文矩阵的本质及构造方法是什么? What is the essence and construction of the matrix?
21930 该文提出一个重要的概念：抽象解密结构。 An important concept is proposed: Abstract decryption structure.
21931 该文以抽象解密结构为工具，对目前全同态加密构造方法进行分析，得到抽象解密结构、同态性与噪音控制之间的关系，将全同态加密的构造归结为如何获得最终解密结构的问题，从而形式化地建立全同态加密构造方法。 Based on the abstract decryption structure, the main factors related to the homomorphic encryption are analyzed and relationship between abstract decryption structure, homomorphism and noise control is studied. The construction of the homomorphic encryption is attributed to the problem of how to obtain the final decryption structure. So the formal method of homomorphic encryption can be established.
21932 最后对 GSW 全同态加密方法分析，提出其密文矩阵是由密文向量堆叠而成。 Thus the essential law of the construction method of the homomorphic encryption construction is expounded, which provides the clue and clue for the construction of the new full homomorphic encryption.
21933 基于密文堆叠法，研究密文是矩阵的全同态加密的通用性原因，给出密文矩阵全同态加密与其它全同态加密之间的包含关系。 The general reason of the full homomorphic encryption of the ciphertext matrix from the point of view of the ciphertexts stack method is studied. The relation between the full homomorphic encryption and the other homomorphic encryption is obtained. Finally, this paper gives a general method of constructing fully homomorphic encryption.
21934 传统稀疏表示目标追踪算法首先通过粒子滤波方法对状态粒子进行采样，然后利用灰度特征表征采样粒子观测向量，最后构造基于观测向量的稀疏表示模型来进行目标追踪。 In traditional sparse representation based visual tracking, particle sampling is first achieved by particle filter method. Then the particle observations are represented by intensity feature. Finally, the visual tracking is achieved by the intensity feature based sparse representation model.