| 1. | The application of linear radon transform in coherent noise elimination and weak signal extraction
变换在弱信号提取及强干扰噪声抑制的应用 |
| 2. | So it is necessary to develop an eeg apparatus which can detect eeg in strong interference background
为克服这种局面,有必要研究一种能在强干扰背景下提取脑电信号的脑电图仪。 |
| 3. | The simulation results show that the algorithm is able to track a fast moving signal while suppressing a fixed interference
仿真结果表明，该算法可以在跟踪快速移动信号的同时，有效地抑制一个固定强干扰。 |
| 4. | When the processing gain do not provide sufficient improvement , it is necessary to employing various anti - jam measures , especially in strong jamming environment
在强干扰环境，其扩频增益不足以对干扰进行抑制时，需要采用各种抗干扰措施。 |
| 5. | Auto synchronizing function : when strong interference makes the controller cannot work synchronously , the system software will interfere automatically to repair it
自动同步功能：当强干扰造成控制器不能同步工作时，系统软件将自动干预，予以修复。 |
| 6. | A genetic algorithm assisted beam tracking and forming is applied to solve the problem of tracking a continuous moving signal while suppressing a strong fixed interference
摘要介绍了遗传算法在波束追踪和成型中的应用，着重探讨了该方法在解决追踪连续信号的同时抑制固定强干扰的问题。 |
| 7. | One of the key problems in the study is data association under the environment with dense clutter and high - level maneuvering targets . in this paper , the following facets will be studied : 1
杂波强干扰和目标高度机动情况下的数据关联是多目标跟踪领域的一个难点问题,也是多目标跟踪的关键问题。 |
| 8. | How to mine the potential and valuable information from a lot of messy and strong - ditracted data has given human the unprecedented challenge in intelligent information process
如何从大量的、杂乱无章的、强干扰的数据中挖掘潜在的、有利用价值的信息，这给人类的智能信息处理能力提出了前所未有的挑战。 |
| 9. | Eeg is faint in a background of strong interference , so most hospitals adopt special shielding room to detect eeg signal so that patients can ’ t be inspected in time
由于脑电信号的微弱性以及它的强干扰背景,目前大多数医院仍然采用专用脑电屏蔽室进行检测,这使得对病人的监护缺乏实时性,不能随时监测病人的病情。 |
| 10. | To solve the difficulties in complex industrial processes , a robust generalized predictive control ( gpc ) based on neural network model with the genetic algorithm is presented in this paper
摘要针对复杂工业过程中存在的时滞、强干扰的严重非线性控制对象、仿真研究了一种利用神经网络作为预测模型，遗传算法作为滚动优化策略的预测控制方法。 |
