The result of testing shows that the system can carry out collection and stimulating of neural signal.
测试结果表明此套系统可以实现神经信号的采集和刺激。
A current stimulation neural signal regeneration IC which consists of a detecting circuit and a stimulating circuit is presented.
介绍了一种电流激励神经信号再生电路，该电路由探测电路和激励电路组成。
The present application of neural network to sensing signal processing and principles on which this application based are discussed.
本文论述了神经网络在传感信号处理方面的应用，介绍了基本原理，举例说明应用方法。
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。
In this paper, a Modified Neural Network (MNN) based power controller is proposed to smoothen out the fast fading and keep the received signal power from each user constant at the base station.
本文提出了一种基于改进的神经网络(MNN)的自适应闭环功率控制算法，该方法平滑了移动信道衰落的影响，使基站接收到的小区中所有用户的信号功率相等。
Based on the theory of Artificial Neural Network (ANN), an approach to simulate signal propagation delay, carrier phase, power, and other parameters using ANN is proposed.
基于人工神经网络(ANN)理论，提出一种利用ANN来模拟信号传播延迟、载波相位、信号功率等参量的方法。
The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.
该方法首先利用小波变换和主成分分析对故障信号进行预处理，然后用处理后的故障特征数据对小波神经网络进行训练和测试。
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。
Fuzzy Neural Network System (FNNS) can construct input? Output relationship by means of input and output signal and FNNS has special characteristics of adaptive learn while environment is changing.
模糊神经网络系统可以根据系统输入输出信号，建立系统的输入输出关系，并对环境的变化具有较强的自适应学习能力。
To solve the leak detection and location problem in pipeline flux, we built neural network model based on the difference of leak wave and normal signal.
为了解决目前管道流量泄漏监测和定位问题，根据管道泄漏应力波和正常信号的区别，建立神经网络模型。
This paper discusses the methods of the sensor fault detection and signal reconfiguration using associated neural networks.
本文提出一种基于联合神经网络的传感器故障诊断和信号重构的方法。
An approach to the control and synchronization of the scalar chaotic signal by means of neural networks with linear outputs is presented.
本文给出了一种利用线性输出神经网络实现标量混沌信号同步控制的方法。
The approximate controller gives the rough control and the neural network controller gives the complementary signal to further reduce the output tracking error.
常规控制器对系统给出粗略控制，神经网络控制器给出补偿信号来进一步减小系统输出跟踪误差。
The physical implementation of neural network follows delays of feedback signal and the application of network requires the study of the stability.
神经网络的硬件实现常伴随反馈信号的延时，网络的应用需要对具有时滞反馈网络稳定性的充分研究。
The regulation mechanism during tooth development, which includes the initiation of tooth developmental signal, the role of neural crest cells in tooth morphogenesis, and the interaction between dent.
本文从牙齿发育信号的启动、颅神经嵴细胞在牙齿形态发生中的作用以及上皮-间充质的交互式作用三个方面简述牙齿发育的调控机制。
To solve the classification of dynamic signal, this paper proposed a feedback process neural networks model and classification methods based on this model.
针对动态信号模式分类问题，提出了一种反馈过程神经元网络模型和基于该模型的分类方法。
This paper proposed a neural network implementation method for the direction estimation of signal sources based on spatial partition after describing the basic principle.
本文在介绍了空间分割信号源方向估计方法后，提出了一种空间分割信号源方向估计器的神经网络实现方法。
This article introduces a adaptive exercise ECG signal enhancer with manual neural network.
介绍了一种用人工神经网络预滤波的自适应运动心电信号增强器。
Through measuring the electric current signal, the soft sensing model used for tool wear estimation based on stochastic fuzzy neural network(SFNN) is presented in this paper.
本文通过检测电流信号基于随机模糊神经网络建立了刀具磨损量的软测量模型。
In practice complex alternating projection neural networks can be widely applied to signal processing, such as band-limited signal extrapolation, frequency selector and trap filter.
实际上，复交替投影神经网络不仅可用于信号处理中的带限信号外推，还可用于选频、陷波等场合。
Pressure signal and vibration signal of valves are fused, and RBF neural network is used to diagnose fault by the information feature vectors constructed in this method.
该方法将气阀的压力信号和振动信号特征进行信息融合，再通过RBF神经网络进行故障诊断。
This method is robust to Gaussian noise and constellation rotation due to initial phase of signal and avoids overfitting and local minimum in neural networks.
这种方法对高斯噪声和星座图由于信号初始相位而引入的旋转具有良好的稳健性，并避免了神经网络中的过学习和局部极小点等缺陷。
A novel method of pattern recognition and fault diagnosis in electrical machine based on the wavelet-neural network is proposed according to the frequency spectrum characteristics of vibration signal.
针对电机振动信号的频谱特点，提出基于小波神经网络技术的电机故障模式识别与诊断的新方法。
The loose part impact positions are located by analyzing signals from accelerometers mounted on the reactor vessel with signal pre processing, time frequency transforms, and neural networks.
通过对安装在反应堆压力壳上的多个加速度传感器的信号进行采集，并经过信号预处理、时频变换、神经网络计算等过程，实现对核电站松动件碰撞位置的定位。
The BP neural network is used to fit data, through which quantitative analysis of defect signal can be obtained.
采用了BP神经网络对数据进行拟合，能够实现对裂纹信号的定量识别。
Two new speech detection methods based on neural networks using Barker coded synchronization signal are presented.
提出了两种采用巴克码编码同步信号并基于神经网络的起点检测新方法。
After noise reduction in the signal, using "wavelet packet-energy" to extract the characteristic vector and input them to the neural network for fault identification.
在对采集到的信号降噪后，利用“小波包-能量”法提取特征量，并将其输入到神经网络中进行故障识别。
A novel optic fiber sensing array and suitable neural network signal processing techniques are described.
描述了一种新颖的光纤传感阵列和适宜的神经网络信号处理技术。
The characteristics of vibration displacement signal in milling process is analyzed. A monitoring method of vibration displacement signal, based on artificial neural network, is put foward.
分析了铣削过程中振动位移信号的特征，提出了一种基于人工神经网络的振动位移铣刀破损监测方法。
The characteristics of vibration displacement signal in milling process is analyzed. A monitoring method of vibration displacement signal, based on artificial neural network, is put foward.
分析了铣削过程中振动位移信号的特征，提出了一种基于人工神经网络的振动位移铣刀破损监测方法。
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