| ID | 原文 | 译文 |
| 18725 | 并通过分岔图及平衡点分析，研究了其簇发产生机理。 | The mechanism of bursting is studied by analysis of equilibrium point and bifurcation diagram. |
| 18726 | 采用Multisim电路仿真与数字信号处理平台(DSP)对系统进行了硬件实现，与理论分析基本一致的实验结果证明该系统是可行的且是物理可实现的。 | Multisim circuit simulation and Digital Signal Processing platform (DSP) are used to implement the system inhardware, and the experimental results basically consistent with the theoretical analysis prove that the systemis feasible and physically achievable. |
| 18727 | 针对运动想象脑电信号(EEG)的非线性、非平稳特点，该文提出一种结合条件经验模式分解(CEMD)和串并行卷积神经网络(SPCNN)的脑电信号识别方法。 | For the non-linear and non-stationary characteristics of motor imagery ElectroEncephaloGram (EEG)signals, an EEG signal recognition method based on Conditional Empirical Mode Decomposition (CEMD) andSerial Parallel Convolutional Neural Network (SPCNN) is proposed. |
| 18728 | 在CEMD过程中，采用各阶固有模式分量(IMF)与原始信号的相关性系数作为第1个IMF筛选条件，在此基础上，提出各阶IMF之间的相对能量占有率作为第2个IMF筛选条件。 | In the CEMD process, the correlationcoefficient between the Intrinsic Mode Functions (IMFs) and the original signal is used as the first condition toselect IMFs. Based on this, the relative energy occupancy rates between the IMFs are proposed as the secondcondition to select IMFs. |
| 18729 | 此外，为了考虑脑电信号各个通道之间的特征和突出每个通道内的特征，该文提出SPCNN网络模型对进行CEMD过程后的脑电信号进行分类。 | Further, to consider the characteristics between the EEG signal channels and highlight the features in each EEG signal channel, a SPCNN model is proposed to classify the processed EEG signals. |
| 18730 | 实验结果表明，在自行采集的脑电数据集上平均识别率达到94.58%。 | The experimental results show that the average recognition rate reaches 94.58% on the dataset collected by ourselves. |
| 18731 | 在公开数据集BCI competition IV 2b上平均识别率达到82.13%，比卷积神经网络提高了3.85%。 | And the average recognition rate reaches 82.13% on the BCI competition IV 2b dataset, which is3.85% higher than the average recognition rate of convolutional neural network. |
| 18732 | 最后，在自行设计的智能轮椅脑电控制平台上进行了轮椅前进、左转和右转在线控制实验，验证了该文算法对脑电信号识别的有效性。 | Finally, the online control experiments are carried out on the designed intelligent wheelchair platform, which proves the effectiveness of the proposed algorithm for EEG signals recognition. |
| 18733 | 高反光物体成像时反射的光强容易超出传感器接收光强的最大量化值，使得采集图像部分区域图像失真，严重影响信息传递。 | When imaging a highly reflective object, the light intensity reflected easily exceeds the maximum quantized value of the light intensity received by the sensor, which causes image distortion of the captured image in the saturated region of light intensity and seriously affects the quality of information transmission. |
| 18734 | 为了改善高反光成像饱和区域中数据丢失的状况，该文结合压缩感知这一新的采样理论提出基于压缩感知高反光成像方法，利用特定测量矩阵对目标图像进行线性采样，将CCD图像传感器的单个光强采样值与测量矩阵中的分布数据对应结合，对整合后的数据用算法进行恢复重建实现被测目标在高光环境中成像。 | In order to improve the data loss in the high-reflection imaging saturation region, a compression-sensing of high-reflection imaging method based on the new sampling theory of compressed sensing is proposed. A specificmeasurement matrix is used to conduct linear sampling of the target image, and the single light intensitysampling value of the CCD image sensor is combined with the distribution data in the measurement matrix,and the integrated data is restored and reconstructed with the algorithm to achieve the imaging of themeasured target in the high-light environment. |