ID 原文 译文
21255 该算法是基于改进的通用化双基等效斜距模型(IGBERM)，利用PFA插值将频谱投影到地距平面，通过构建空变相位误差与图像畸变联合补偿滤波器，并采用反向映射插值，实现在斜地转换过程中对运动误差、波前弯曲与图像畸变进行局部联合补偿，获得的无畸变双基SAR地距图更有利于后续的图像匹配应用。 Constructing the combined compensating filter of space-variant phase error and geometric distortion, as well as reverse mapping interpolation, can realize the combined compensation of motion error, wavefront bending and geometric distortion in the process of oblique conversion, and obtain the SAR distance map without distortion, which is more conducive to the subsequent image matching applications.
21256 最后，仿真实验验证了所提算法的有效性。 Finally, the simulations validate theeffectiveness of the proposed algorithm.
21257 压缩感知多测量向量(MMV)模型用于解决具有相同稀疏结构的多快拍问题，在传统阵列信号处理应用中多重信号分类(MUSIC)方法是一种常见的方法，但当快拍数不足(低于稀疏度)时其性能将急剧恶化。 The Compressed Sensing (CS) Multiple Measurement Vector (MMV) model is used to solve multiple snapshots problem with the same sparse structure. MUltiple SIgnal Classification (MUSIC) is a common method in traditional array signal processing applications. However, when the number of snapshots is below sparsity performance will be dramatically deteriorated.
21258 Kim等人(2012)推导出一种修正的MUSIC谱，并将压缩重构方法和MUSIC算法结合提出压缩感知MUSIC算法(CS-MU-SIC)，能够有效克服快拍数不足的问题。 Kim et al. derive a modified MUSIC spectral methodand propose a Compressed Sensing MUSIC method (CS-MUSIC) combining the compression reconstructionmethod and the MUSIC algorithm, which can effectively overcome the problem of insufficient snapshot number.
21259 该文将Kim等人的结论扩展到一般情形，并基于传统的MUSIC谱和CS-MUSIC谱提出一种修正的MUSIC算法(MMUSIC)。 In this paper, Kim et al.’s conclusion is extended to the general case, and a Modified MUSIC (MMUSIC)algorithm is proposed based on the traditional MUSIC method and the CS-MUSIC method.
21260 仿真结果表明所提算法能够有效克服快拍数不足的问题，并且具有比CS-MUSIC算法和压缩感知贪婪算法更高的重构概率。 The simulation results show that the proposed algorithm can effectively overcome the shortage of snapshots and has a higher reconstruction probability than the CS-MUSIC algorithm and the compressed sensing greedy algorithm.
21261 连续监测眼压对于辅助诊断与治疗青光眼疾病具有重要作用，现有的眼压传感器存在相对灵敏度较低、中心谐振频率较高、制作工艺难度大等问题。 Continuous monitoring of IntraOcular Pressure (IOP) plays an important role in the diagnosis and treatment of the glaucoma. Existing IOP sensors have some problems, such as low sensitivities, high central resonant frequencies and difficult fabrication.
21262 为了解决上述问题，该文提出一种基于MEMS的非侵入式无线无源型眼压传感器。 In order to solve the afore mentioned problems, this paper presentsa wireless, passive and non-invasive IOP sensor based on MEMS technology.
21263 该传感器为5层堆叠结构，采用Parylene作为柔性衬底层、铜作为电极层、PDMS作为介电层，其中电极层和介电层构成两个电感和两个电容，形成C-L-C-L串联谐振电路。 The sensor contains five stackedlayers, where Parylene, copper and PDMS are adopted as the functional materials within two flexible substratelayers, two electrode layers, and a dielectric layer, respectively. The electrode layers and the dielectric layerconsist of two inductors and two capacitors to form a resonant circuit in C-L-C-L series.
21264 通过MEMS平面工艺和热塑形方法制作成能够与眼球紧密贴合的曲面形状，这种设计方案能有效地解决传感器的制作工艺难度大等问题。 In the term offabrication, a MEMS planar process followed by thermally shaping is proposed to fit curved surfaces of theeyeballs, and then this design scheme can effectively solve such issues as the difficulty in making the sensor andso on.