In the paper, the source and sorting of noise in microwave communication receiving system is described; and noise coefficient and network noiseness are analysised in detail.
本文全面论述了微波通信接收系统的噪声来源和分类，并较详细地分析了噪声系数及网络的噪声特性。
This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
Secondly, power line noise channel and multi-path channel optimization modeling techniques based on artificial neural network are proposed.
其次，提出了电力线噪声信道和多径信道的神经网络优化建模方法。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, this paper proposes a new approach to the dynamic detecting harmonics.
基于自适应噪声对消技术及人工神经网络(ANN)理论，提出了一种谐波电流动态检测方法。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
Signal sampling system of video communication over network usually has a low sampling rate suffering from the limited bandwidth, so aliasing noise is big problem.
受传输带宽限制，网络视频采集系统的采样率低，欠采样噪声严重。
The HRR image at various look angles and ratios of signal to noise is recognized by Linear Interpolation Neural Network and the result is very satisfactory.
得到任意视角及可变信噪比下的一维距离高分辨率像，并用线性内差神经网络进行识别，得到了满意的结果。
Through this paper, the low-voltage power line network and channel characteristics are researched. The noise and attenuation characteristics of power line channel are measured and analyzed.
本文首先分析了低压电力线网络的特点及信道特性，对电力线信道的噪声和复衰减特性分别进行了测量及分析。
The connecting part between pump and network is equipped with flexible rubber joint and support suspended frame to reduce vibration and noise.
水泵等震动设备与管道连接处，采用可曲桡橡胶接头及减震支吊架以减震降噪。
We successfully apply BP network in noise cancelling. The effect of practical application is satisfactory.
本文采用BP网络实现自适应噪声相消，实际应用效果是良好的。
Method for transmitting background noise information in data transmission in data frame, communication system, mobile station and network unit.
在以数据帧形式的数据传输中用于发送背景噪声信息的方法，通信系统，移动台和网络单元。
Our voice activity detection method is simple to be implemented and calculated and has high accuracy, which can work in the real time digital communication network with better signal-noise-ratio.
基于频谱特征的语音激活检测方法易于实现，计算量小且准确率高，适合较高信噪比的实时数字通信网络中。
Since WDM channels share optically active devices such as EDFAs, network management of one channel may affect the power and noise features of the other channels.
由于在WDM系统中，各个信道共用光有源器件(如edfa)，对某一信道的网络操作有可能影响其它信道的功率和噪声特性。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, an approach for harmonics detection and analysis is presented.
基于自适应噪声抵消方法和人工神经网络(ANN)理论，提出一种谐波电流检测分析方法。
Method, communication system, mobile station and network element for transmitting background noise information in data transmission in data frames.
在以数据帧形式的数据传输中用于发送背景噪声信息的方法，通信系统，移动台和网络单元。
The hybrid time-frequency method was modified to analyze the simultaneous switching noise in power distribution network.
对时频域混合方法加以改进用于分析电源分配网络同步开关噪声。
The exponential convergence of the training process and its robust stability to the noise perturbances and the network design errors are also proved.
证明了在存在噪声干扰及网络设计误差的情况下，网络训练过程具有指数收敛性和鲁棒平稳性。
Noise and disturbances on the power network include over voltages, under voltages, frequency variations and so on.
噪声和干扰在力量网络包括结束电压，在电压，频率变异之下等等。
Aiming at the traffic noise problem of Lhasa, the author USES artificial neural network theory and method to predict the equivalent consecutive sound level of traffic noise in Lhasa.
针对拉萨市道路交通噪声污染问题，运用人工神经网络理论和方法对拉萨市道路交通噪声的等效连续声级进行预测。
This paper presents a method of evaluating noise quality based on artificial neural network (ANN).
提出一种基于人工神经网络(ANN)的噪声品质评价方法。
In this paper, the authors study the detection of signals in non-Gaussian noise, and employ a multilayer perceptron neural network as a detector.
本文研究了非高斯噪声中信号的检测，采用多层感知器神经网络作为检测器。
But the existence of noise funneling in the return path of cable network in HFC system restricts the selection of modulation techniques for the return path.
但HFC网络中同轴电缆网络上行信道中存在的噪声漏斗效应限制了上行信道调制技术的选择。
The electromagnetic interference (EMI) noise separating network is used to estimate and suppress the radiated electromagnetic interference noise in a power line communication system.
介绍了电磁干扰(emi)噪声分离网络在预估与抑制电力线通讯中系统辐射电磁干扰噪声方面的应用。
Using adaptive noise cancelling technology, an adaptive detecting approach of currents based on neural network for active power filter is proposed in this paper.
文章将自适应噪声对消技术用于有源滤波器的电流检测，提出了一种基于神经元网络的自适应检测方法。
The adaptive Fuzzy Neural Network is employed for adaptive noise cancellation.
讨论了基于自适应模糊神经网络的噪声抵消器的设计方法。
The traditional neural network correction has a good adaptivity to the noise. But with a stronger low frequency space noise, the correction effect is very poor.
传统的神经网络非均匀性校正算法对噪声具有较好的自适应性，但当空间低频噪声较大时，校正效果明显下降。
The paper comprehensively USES the superiority of fuzzy pattern recognition over rejecting noise information and BP neural network on simulation to design a new algorithm named fuzzy neural network.
文章在综合利用模糊模式识别剔除噪音信息和BP神经网络拟合优势的基础上，设计了模糊神经网络新算法。
The effect of ground motion noise on the network construction is analyzed.
指出了地动噪声分析对台网建设的作用。
The basic requirements of the conducted electromagnetic interference noise separator network are put forward, and several major kinds of separator network structure based on hardwares are introduced.
提出了传导性电磁干扰噪声分离器网络的基本要求，介绍了几种主要的基于硬件的分离网络结构。
The thesis uses fuzzy neural network' s approach ability to prove that a fuzzy neural network with a finite rule number can optimally predict a chaotic system with noise.
本文利用模糊神经网络的通用逼近性，证明了在噪声情况下利用有限规则数的模糊神经网络可以以最小的误差预测混沌系统。
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