ID 原文 译文
17435 其次，计算原始图像与非局部信息项的差值的平方，将其作为非局部信息项的自适应权重，并将差值的平方作倒数变换，作为原始图像的自适应权重； Next, the squared difference between original image and non-local spatial term is calculated as adaptive weight of non-local information term. The squared difference is reciprocally transformed as adaptive weight of the original image.
17436 最后，将每个聚类簇中所有像素隶属度之和的对数平方加入目标函数的分母，形成隶属度连接，减少目标函数迭代次数。 Finally, the membership linking is established to reduce the iteration steps before convergence by adding thesquare of the sum of all the membership degrees in every cluster in logarithmic form as the denominator of theobjectvie function.
17437 含噪人工与自然图像分割实验表明，该算法在分割准确度、平均交并比、归一化互信息、运行时间与迭代次数等性能方面优于其他几种FCM算法。 Experiments on noisy artificial and natural images prove that this proposed algorithm hassuperior performance in terms of Segmentation accuracy, mean intersection over union, normalized mutualinformation, running time and iteration steps.
17438 针对传统物理不可克隆函数(PUF)产生信息熵少、易受环境因素干扰等问题，该文设计一种产生多位稳定信息熵的PUF方案。 Considering the problem of information entropy being low and easily disturbed by environmentalfactors in the traditional Physical Unclonable Function (PUF), a PUF scheme is designed to generate multiplestable information entropy.
17439 该方案通过对FPGA上环形震荡器所产生频率数据的分析，从每个震荡环中提取能够代表震荡环特性的特征位作为信息熵。 By analyzing the frequency data generated by the ring oscillator on the FPGA, thefeature bits representing the characteristics of the ring are extracted from each ring as information entropy.
17440 通过对逆变器温度特性的研究，利用电流饥饿逆变器和常规逆变器组成新的震荡环来降低温度对产生的信息熵的可靠性的影响。 By studying the temperature characteristics of the inverter, a new oscillating ring is formed by the current hungry inverter and the conventional inverter to reduce the influence of temperature on the reliability of the generated information entropy.
17441 通过Cadence IC仿真和进行赛灵思zynq 7000系列FPGA开发平台上的实验，结果表明改进的PUF结构使用相同数量的震荡环产生更多的信息熵，并且其可靠性、唯一性均得到提升。 Through Cadence IC simulation and experiments on zynq7000 series FPGA developmentplatform, the results show that the improved PUF structure can generate more information entropy with thesame number of oscillatory rings, and its reliability and uniqueness are improved.
17442 该文提出两种低复杂度的基于符号翻转的多元低密度奇偶校验码(LDPC)译码算法：改进型多元加权译码算法(Iwtd-AlgB)和基于截断型预测机制的符号翻转(TD-SFDP)算法。 Two low-complexity symbol flipping decoding algorithms, the Improved weighted-Algorithm Balgorithm (Iwtd-AlgB) and the Truncation-based Distance-Symbol-Flipping-Decoding with Prediction (TD-SFDP) algorithm, are presented for non-binary Low Density Parity Check (LDPC) codes.
17443 Iwtd-AlgB算法利用外信息频率和距离系数的简单求和取代了迭代过程中的乘性运算操作； For the Iwtd-AlgBalgorithm, the scaling factor of the flipping metric can be replaced by the simple sums of the extrinsicinformation and the distance-based parameter, which can avoid the multiplication operations in the iterationsand thus can reduce the decoding complexity.
17444 TD-SFDP算法结合外信息频率和翻转函数特性，对译码节点和有限域符号进行截断与划分，使得只有满足条件的节点和符号参与运算与翻转预测。 For the presented TD-SFDP algorithm, the variable nodes andthe finite field symbols are truncated and classified based on the extrinsic information frequency and theflipping function. Only those nodes/symbols that satisfy the designed conditions can be involved in the messageupdating process.