| 1. | The application of stochastic resonance for weak signal extraction from strong noise
随机共振原理在微弱信号检测中的应用 |
| 2. | The practice of doppler frequency - shift signal extraction in ultrasonic blood flow detector
多普勒频移信号提取技术在超声血流检测中应用 |
| 3. | 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 |
| 4. | A logarithm - kurtosis based complex algorithm for blind signal extraction and blind beamforming
基于峰度自然对数最大化的信号盲分拣算法和盲波束形成 |
| 5. | 5 an algorithm of skew signal - to - noise ratio ( sksnr ) based quadratic phase dynamic coupling signal extraction is created
5提出了基于歪度信噪比的二次相位动态耦合信号的多谱特征提取算法。 |
| 6. | Therefore , to use the weak signal extraction technique in overburden approportely , we should decide the extraction procedures after thoroughly test
因此，在覆盖区应用弱信息提取方法时，应结合景观和样品特征，采用实验方法确定合适的提取剂浓度。 |
| 7. | Aiming at the present problems , this thesis studies the pd signal extraction of pulse current method （ pcm ） in two directions : signal propagation and interference suppression
本文针对现存的问题，从局放信号的传播和干扰的抑制两方面研究了脉冲电流法用于变压器局部放电在线监测。 |
| 8. | The tv goniometer is the ground control equipment of a model of anti - tank missile . it uses two ccd cameras and the signal extraction method of background counteract , which can make the guiding process of anti - tank missile wo n ' t interfered by sunlight , firelight of battle field , light , flame tracer etc . it can greatly improve the anti - interfering ability of the anti - tank missile system
该电视测角仪是某型反坦克导弹武器系统的地面控制设备，它采用两个ccd摄像机和背景抵消的信号提取方法，可使反坦克导弹的制导过程不受太阳的反光、战场的火光、灯光、曳光弹等干扰。 |
| 9. | Radial basis function neural network ( rbfnn ) is chosen to build predictive model . rbfnn is a special type of neural network linear - in - weight in nature and having nonlinear processing properties . finally , an adaptive filter is applicable to do the followed weak signal extraction work
接着选用径向基函数神经网络( radialbasisneuralnetwork , rbfnn )建立混沌时间序列预测模型,径向基函数神经网络是一种局部逼近的人工神经网络,训练简洁而且学习收敛速度快,能够逼近任意非线性函数,最后将预测误差送入自适应信号分离器进行处理,检测出微弱信号。 |
| 10. | This thesis referred to the applications of neural network and wavelet transform theory in power system , used the function of mode identification and mode classification of ann and the function of signal extraction of wavelet transform , and established the model of single - phase reclosing based on wavelet neural network . through simulating a line model , the paper approved its feasibility
本文借鉴神经网络和小波变换理论在电力系统中的应用，运用人工神经网络模式识别与模式分类和小波变换信号提取功能，建立了基于小波神经网络的单相重合闸的模型，并通过对一线路模型的仿真，证实了它的可行性。 |
