为了分析信号，他们用计算机监测了这些地震仪组，看是否地下的每个铁板都包含着独特的震动特征。
They used a computer monitoring the string of geophones to analyse the signals to see if they contained the seismic fingerprint of any of the underground plates.
探测器检测出由它们的衰变方式决定的特征信号并记录下来，这些数据随即由科学家们进行分析。
The detector picks up the telltale "signatures" of these decay patterns and records them, and the data is then analyzed by scientists.
通过信号分析与处理的方法，提取出与金属和非金属粘接状态和粘接质量有关的特征量。
Extracting the features related to the adhesive state and quality between metal and nonmetal, through the methods of signal analysing and processing.
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。
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.
通过各频带的能量分析，才能获得较准确的频率特性，同时也可以得到原始信号的局部特征。
Through the energy analysis of different frequency bands, we can attain the blasting vibration signals' frequency identity and original signals' part character.
该方法的关键是依据高阶统计量原理，分析地震信号的高阶统计量特征。
The key of the method is to analyze the feature of high order statistic of seismic signal based on high order statistic.
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。
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.
在分析已有辐射源信号识别模型的基础上，提出了基于信号参数特征提取的辐射源信号识别模型。
After analyzing the existing radar emitter signal recognition models, this paper presents a radar emitter signal recognition model based on signal parameters extraction.
这一特点恰好满足对具有多刻度特征信号进行时频分析定位的要求。
This can satisfy well time frequency analysis of multi graduation characteristic signal.
分析了每一种信号的特征，提出并设计了逻辑芯片重构设计中信号类型识别算法。
This paper analyzes each kind of signal characteristics, proposes the signal type recognition algorithm in the logic chip restructuring design.
通过对调制信号作谱分析，以其频谱中是否存在某种故障的特征频率分量来诊断有无该种故障。
The fault is diagnosed by extracting the fault feature component from the frequency spectrum of the modulated signal.
通过比较上述两种方法检测脑电信号的异同；并结合临床特征及影像学资料，分析CEEG和AEEG的临床价值。
We analysis the clinic value of the CEEG and AEEG by compare the difference of AEEG and CEEG in inspecting electroencephalogram signal, clinic character and video data.
分析了齿轮典型故障的故障机理及其振动特征，阐述了齿轮振动信号分析与故障诊断的方法。
In this paper, typical fault mechanisms and vibration characters are analyzed; the methods of analyzing gear vibration signal and diagnosing fault are described.
往复泵泵阀振动信号的常规频谱分析，由于故障特征信息往往被淹没于强大的噪声以及相邻部件的干扰而使诊断精度大打折扣。
The accuracy of traditional spectrum analysis for the diagnosis of reciprocating pump valve is not satisfied for the interference of the noise and the vibration of the adjacent parts.
对m 7180(70)系列平面磨床进行了现场实验测试，并对测试信号进行幅频特征分析。
Wed o field test experiment on surface grinding machine of series M7180 (70), and analyze the spectrums characteristics of the testing signal.
MS K信号简介及分析，研究其特征，以便有效的对其解调。
Brief introduction and analysis of MSK signal, research its characteristic in order to demodulate efficiently.
粗铝丝超声引线键合；换能器驱动电流；信号时频分析；特征提取；质量在线监测。
Aluminum wire ultrasonic bonding; transducer drive current; signal time-frequency analysis; feature selecting; quality online monitoring.
这里，主要对二次处理的方法作了详细的介绍，包括时域信号的统计特征，频域分析的傅立叶变换和短时傅立叶变换。
Here, secondary treatment methods are introduced in detail, include time domain signal statistics character, frequency analysis fast Fourier transform (FFT), and short time Fourier transform (STFT).
对检测信号波形特征的分析可作为缺陷定量判断的可行途径。
Therefore, it is a feasible way to analyze the wave features of the test signals for quantitative judgement of defects.
根据振动信号频谱分析结果，提取频谱特征，获取各种故障征兆信息。
According to the result of spectrum analysis of vibration signals, frequency characteristics are acquired and various fault signs are gained.
目的：分析肾上腺肿瘤的MRI信号特征与病理类型间的关系。
Objective: To analyse comparatively the relationship between the MRI signal characteristics of adrenal tumor and their pathologic types.
而要检测软故障，就要针对电路中的软故障信号进行分析，提取能够反映软故障信号的特征值。
But it can not make good analysis of the soft fault signal in the circuits which is random and unstable or can not reflect and extract the transient characters of the soft fault signal.
叙述分析处理连续波（CW）信号的重要性，并介绍测定CW信号频率特征的方法。
The importance of analyzing and processing continuous wave (CW) signals is described. The method of determining the performance of the CW signals frequency is introduced.
小波变换的主要特点是通过变换能够充分突出某些方面的特征，它是研究信号时-频分析的重要方法。
The main characteristics of wavelet transform is that some character can well outstanding by transformation and it is an important way to study signal in time-frequency domain.
方法：对细胞信号转导系统的反应序列特征进行分析。
Methods: The characteristics of the reactions in this system were analyzed.
说话人转换的关键之处是从语音信号中提取可分析合成的说话人特征。
The key point of the research of voice conversion is to extract synthesisable speaker identifications from speech signals.
对信号响应的波形特征进行分析和讨论，实验得出LIV信号半峰全宽与数据采集卡临界采样率成反比例关系。
The results show that there are inverse proportional relationship between full wavelength at half maximum(FWHM)of the LIV signal and critical sample rate of data acquisition card.
本文对加工中心钻削过程功率信号的特征进行了分析。
The characteristics of power signal during drilling on machining centers is analyzed in this article.
以毫米波敏感器在军事中的应用为背景，对毫米波敏感器信号的波形特征进行分析，采用小波变换进行目标信息的特征提取。
On the basis of the applications of MMW sensors to the munitions, this thesis analyses the wave characters of MMW sensors 'signal, use wavelet transform to extract the features of target information.
如何对这类信号进行有效分析，提取其特征，开发新型的保护装置，一直是电力系统保护技术中的重要研究领域。
How to analyse this kind of signals and draw out their features to develop new protection device is an important research domain in the protection technology of power system all the time.
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