电子信号进入集成电路后被转换成激光，由光纤传出，在不到1秒的短时间后重新被转换成电子信号。
Electronic data piped into one chip is converted into laser light that travels down an optical fiber and is transferred back into electrical signals a few fractions of a second later.
本文第一章首先对短时突发信号和盲处理的有关概念进行了解释和说明，然后对本文的研究内容做了简要的介绍。
In the first chapter, the conceptions of short burst signals and blind procession are explained firstly, and then main contents of this dissertation are introduced in brief.
对这些仿真信号进行短时傅里叶分析，求出相应的最大频率、平均频率和频谱宽度等曲线。
The relative waveforms, such as maximum frequency, mean frequency and bandwidth, were obtained using the short time Fourier analysis of those simulated signals.
给出了一种基于短时循环自相关特性的2fsk信号快速解码算法。
This paper presents a fast demodulation algorithm of a 2fsk signal based on short time cycle autocorrelation.
基于傅立叶变换、短时傅立叶变换和小波变换，提出了一种虚拟信号分析仪的系统软件模块的实现方法。
Based on Fourier transform, short time Fourier transform and Wavelet transform, a realizing method of system software module of Virtual signal analysis instrument is proposed.
最近由于发生日凌，会短时间影响卫星信号。
Take place sun outage recently, can short time influence the signal of satellites.
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).
对语音信号端点检测的主要方法，如基于短时能量的方法、基于HMM的方法、基于自相关相似距离的方法等进行了深入研究。
The main speech signal endpoint detection methods, such as short time energy based scheme, HMM based scheme, related alike scheme and so on are investigated deeply.
重点研究了基于离散短时傅里叶变换解调2FSK信号的方法，分析了几种码元同步算法和码元判决算法。
Secondly, a DSTFT(Discrete Short Time Fourier Transform )-based demodulation method for the 2FSK signal is studied and algorithms for symbol synchronization and symbol decision are analysed.
本文在分析地震反射波勘探信号时频分布特性的基础上提出了基于短时傅里叶变换的地层吸收补偿方法。
Stratigraphic absorption compensation based on short-time Fourier transform has been developed by analysing the time-frequency distribution characteristics of seismic reflection signals.
本文对语音信号特征参数、语音信号特征参数的选择进行了介绍，并介绍了语音信号的短时能量、短时平均幅度的提取。
In this paper we introduced the speech signal feature parameters, the speech signal feature parameters selection, and introduced short-term energy, short-term average range extraction.
本文介绍处理非平稳信号的新型工具——小波分析、短时付氏变换两种时频分析方法。
In this paper, two kinds of new time-frequency analysis approaches for non-stationary signal processing are introduced, which are wavelet transform and short-time Fourier transform.
文章首先介绍了线性调频信号模型，然后概述了基于短时傅立叶变换的参数估计方法。
First of all, LFM signal model is introduced, and then short-time Fourier transform is studied.
引入了最佳修正短时对数谱估计，能在信号存在的不确定性下最小化语音信号对数谱的均方误差。
We introduce an optimally-modified log spectral amplitude estimator, which minimizes the mean-square error of the log spectra for speech signals under signal presence uncertainty.
在一短段时间里，语音信号保持相对稳定，这种“短时性”是语音信号的重要特性。
Speech signal keeps stability in a short time, and this "short - time characteristic" is an important characteristic of speech signal.
正常状态时由金属探测器检测铁件，发出信号控制电磁除铁器短时工作一定时间(约20秒)。
Measure iron piece by mental detector at the normal condition; make out signal to control separator working certain time in short-term (about 20 seconds).
国内的去混响研究主要集中在海洋混响的声纳应用方面，而且大部份是针对短时脉冲或单频信号情况下的混响消除；
The research on dereverberation in China mainly focuses on ocean reverberation, where the sources used are often short time impulses or single tones.
采用了短时傅里叶变换方法对仿真信号进行了时频分析，得到了能够较好地反映目标特征的微多普勒图像。
Short time Fourier transform was used to analyze the simulated signal in the time-frequency domain, a micro-Doppler image that can demonstrate the target characteristics was generated.
把路面激励信号从车辆整体振动中分离出来；同时从频域把短时或局部信号的谱检测出来，实现了常规分析方法所不能达到的功能。
The spectrum of short time signal and part signal can be detected from vehicle vibrational signal which is difficult to be detected by common analysis method.
在较低信噪比情况下，基于语音信号的短时相对自相关序列的短时平均幅度的端点检测能够获得较高的检测精度。
The endpoint detection based on short-time average magnitude of speech signals relative autocorrelation sequences can be detected in high accuracy under the low signal-to noise ratio.
利用短时傅里叶变换分析以这种方法合成的模拟多普勒信号，实验的结果和理论基本吻合。
Results of analysing Doppler signals simulated using this method with the short time Fourier transform show agreement with the theoretical prediction.
研究表明，短时矢功率谱可以对矢量信号的短时能量随频率、时间等的变化过程作出分析，可以应用于旋转机械故障诊断实践中。
The application shows that it can analyze the change of the short-time energy of vector signals as frequency and time change, being applicable to the fault diagnosis of rotational machinery.
提出了基于变时基短时傅里叶变换来分析和处理时变信号的技术。
Measuring and analyzing technology based on variable-time-interval Fourier transform was dealt with for vehicle accelerating noise signal.
对去噪后的心音信号，本文进行了短时傅立叶变换，不同长度的时间窗对应了不用的时频分辨率。
After denoising, it analyzes PCG signal by Short-Time Fourier Transform (STFT). Different window-width is corresponding to different time-frequency resolution.
实践证明：用基于短时傅里叶变换的瀑布图来分析非平稳信号，具有分辨率高、特征提取结果更为精确的特点。
It proved that using the Waterfall based on Short-Time Fourier Transform to analyze non-balanced signal has many advantages such as.
基于短时傅里叶变换形成的三维谱图，采用数字图像处理的方法提取信号的特征。
A Surface EMG signal identification method based on short time Fourier transform is presented in this paper.
研究了实际环境语音信号的特性，结合语音信号的短时平稳性和长时非平稳性，给出了一种时频域盲分离算法。
Investigation characteristic of real world audio, combine stationary for short time-scale and non-stationary for longer time-scales, proposed a time frequency domain blind source separation algorithm.
这一术语常指这类水的核磁共振信号，它在极短时间内产生，并且覆盖了束缚水产生的信号。
The term usually refers to the nuclear magnetic resonance signal of such water, which occurs at very short times and overlaps the signal from clay-bound water.
心音信号是一种典型的非平稳信号，短时傅立叶变换(STFT，又称窗口傅立叶变换)是用于对非平稳信号进行时频分析的有效工具。
Heart sound is a highly nonstationary signal, and the Short-time Fourier Transformation (STFT) is an effective method for this kind of signal to be analysed.
对磁电式速度传感器采集的水泵轴承振动信号分别进行了短时傅立叶变换、小波变换、小波包变换。
The vibrating signals collected from pump bearings by a velocity sensor were analyzed with short time Fourier transform(STFT), wavelet transform(WT) and wavelet packet transform(WPT) in the paper.
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