| 1. | Application of maximal lyapunov exponent to weak signal detection
匹配追踪时频分解算法的点检测方法 |
| 2. | An algorithm for weak signal detection in strong noise environment
一种强噪声背景下的微弱信号检测的新方法 |
| 3. | Study on the weak signal detection method based on the wavelet transform
基于小波变换的弱信号检测方法研究 |
| 4. | Numerical analysis for weak signal detection based on duffing chaotic system
混沌系统微弱信号检测的数值分析 |
| 5. | Linear time - frequency analysis and its application in weak signal detection
线性时频分析在弱信号检测中的应用 |
| 6. | Weak signal detection and extraction against the background of chaotic noise based on empirical mode decomposition
基于经验模态分解的混沌噪声背景下弱信号检测与信号提取 |
| 7. | The detection system is realized in virtual instrument based on the theory of weak signal detection by duffing oscillator
本文的最后依据duffing振子微弱信号检测原理,利用虚拟仪器实现了该检测系统。 |
| 8. | Focusing on neural weak signal detection , this thesis presents the principle and practicable method to utilize sr for neural weak signal detection
本文以神经弱信号检测为研究对象，提出了利用随机共振原理进行神经弱信号检测的基本思想及实现方法。 |
| 9. | The application of chaos theory to weak signal detection is a creationary research , which extends the application field of chaos theory and impels the development of weak signal detection theory
将混沌理论应用于微弱信号检测是一个开创性的研究,它拓宽了混沌理论的应用领域,将微弱信号检测理论推进了一大步。 |
| 10. | The key problem to be solved in multi stations tdoa system is spatial and time synchronism between stations , weak signal detection and solution for high precision location equation
多站时差定位系统也有其自身要解决的关键技术和难点:多接收站之间的时间、空间的同步问题,目标回波的弱信号检测问题,高精度的定位方程组求解方法。 |
