ID	原文	译文
2403	为了进一步提高滤波器的选择性，研究了在四阶滤波器上蚀刻互补开环谐振器设计拓展的盒型拓扑结构滤波器，并实现五阶滤波功能三个有限传输零点。	To improve the selectivity, a complementary split-ring resonator (CSRR)etched in-to the fourth-order SIW filter to design a filter with an extended box-like topology is studied, and the fifth-order filtering function with three finite TZs can be realized.
2404	为了验证结构的合理性，设计了两款中心频率为 10GHz 的对称和非对称响应的四阶滤波器、一款中心频率为 5。8GHz 的五阶滤波器，并给出相应的含非谐振节点的盒型拓扑结构耦合矩阵进行验证，最后进行加工和测试。	To verify the feasibility, a symmetric and an asymmetric response fourth-order BPFs with center frequency of 10GHz and a fifth-order BPF with center frequency of 5. 8GHz are designed. The correspond-ing coupling matrixes of box-like topologies with nonresonating node (NRN)are also given to verify the proposed struc-ture. Finally, the designed SIW BPFs are processed and measured.
2405	耦合矩阵响应、仿真和测试结果一致性较好，表明了该结构设计高性能滤波器的可行性。	The responses of coupling matrixes, simulated and meas-ured results are in good agreement, which demonstrates the feasibility of designed filters with high performances using the proposed structures.
2406	针对 Trace 变换提取的图像特征缺乏对纹理边缘信息描述和计算代价高的问题，利用小波变换对图像轮廓的表征优势，提出了多分辨率 Trace 变换并应用于纹理图像分类。	There is a problem that the image features extracted by trace transform lack description of texture edge in-formation, and the computation cost is high, too. Based on the advantages of wavelet transform in image contour representa-tion, a new fusion feature extraction algorithm, multi-resolution trace transform, is proposed and applied to texture imageclassification.
2407	首先，将小波变换引入到 Trace 变换中，对纹理图像进行非下采样小波变换，得到不同频率的低频特征子图及高频边缘子图;	Firstly, the wavelet transform was introduced in trace transform, low frequency feature sub images and high frequency edge sub images of texture images at different frequencies are obtained by using nonsubsampled wavelet trans-form.
2408	其次，在各级子图上进行一组泛函的Trace 变换，获取纹理图像的融合特征，在获得图像边缘信息的同时避免了 Trace 变换不同泛函组合计算代价过高的问题;	Then, we carried out a set of functional trace transform on each level sub images to obtain the fusion features of texture image, which not only obtains the edge information of the image, but also avoids the problem of high cost.
2409	最后，把融合特征送入支持向量机对图像进行分类。	Finally, the fusionfeatures were fed into support vector machines to classify the images.
2410	实验结果表明，对图像采用多分辨率 Trace 变换提取的融合特征具有更好的纹理描述能力，相对于传统 Trace 变换及 MCM 等对比方法具有更高的鉴别性能，且在时间效率上相对于传统 Trace 变换有大幅提升。	The experiment results show that the fusion features of multi-resolution trace transformation have better texture description ability and achieves higher recognition rate than the origi-nal trace transform and MCM contrast method, the time efficiency is greatly improved compared to the traditional trace trans-form.
2411	在衡量传输网络对信号传输时间延迟和信号失真影响时，群时延是非常重要的一项指标。	Group delay is a very important indicator when measuring the impact of a transmission network on signaltransmission time delay and signal distortion.
2412	基于差分法计算群时延是目前测量仪器普遍使用的方法，该方法存在着分辨率和精度之间的矛盾，在提高频率分辨率的同时势必引起测量精度的下降。	The calculation of group delay based on the difference method is a commonly used in current measuring instruments, and there is a contradiction between frequency resolution and precision. It will inevita-bly lead to the decrease of measurement accuracy while improving the frequency resolution.