In STFT is window is of finite length, and we no longer have perfect frequency resolution.
快速傅立叶变换用到的窗宽度长度有限，因此不能获得完美的频率分辨率。
STFT method has the window problem, which limits the vertical resolution, and cannot adapt the thickness transverse change of layers.
短时傅里叶变换技术存在窗口问题，限制了垂向分辨率，而且不能适应地层厚度的变化；
You may ask, why don't we make the length of the window in the STFT infinite, just like as it is in the FT, to get perfect frequency resolution?
你可能会问，我们为什么不像傅立叶变换用无限长的窗口一样，而在快速傅立叶变换中却用有限长的窗口进行分析呢？
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.
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。
After denoising, it analyzes PCG signal by Short-Time Fourier Transform (STFT). Different window-width is corresponding to different time-frequency resolution.
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。
In addition the application of STFT for base band analytic signal based frequency hopping signal recognition, tracking and parameter extraction is investigated.
另外研究了STFT在基于基带解析信号的跳频信号识别、跟踪、以及参数提取中的应用。
Methods Time-frequency domain method was used to effectively recognize TEOAEand stimulating artifact by their different short time Fourier transformation (STFT).
方法采用时-频域识别方法，根据TEOAE与刺激伪迹不同的短时谱特征来有效识别两者。
Computer simulating results have shown that it is a good method to track and to analyze FH SS signal by using STFT if a proper window function with proper parameter is selected.
计算机模拟结果表明，选择合适的窗口函数类型和窗口参数，利用STFT进行跳频信号的跟踪、分析，可取得较好的效果。
In this paper, a freight car rolling element bearings fault diagnosis method based on Empirical Mode Decomposition(EMD) and adaptive short_time Fourier transform(STFT) is proposed.
提出了一种结合经验模态分解（EMD）和自适应短时傅里叶变换（STFT）的铁路货车滚动轴承故障诊断方法。
The results we obtained on normal PCG signal show that the STFT analysis with different scale basis provides a clear comprehension of the cardiac events in both time and frequency domain.
实验结果表明，不同时频尺度的STFT分析可以很好地描述正常心音信号的时域和频域特征。
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.
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。
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).
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).
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。
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