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.
并用短时傅立叶变换分析了声波传播过程中晶粒散射波的频谱特性。获得了一些有用结果。
We also use short time Fourier transforms to analyze the spectrum of the scattered wave during the propagation process, and obtain some useful results.
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.
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.
本文给出了氦语音的基本变化规律，介绍了两种分别基于短时傅立叶变换和线性预测模型的增强算法。
This paper describes the essential law of helium speech transformation, presents two enhancement algorithms based respectively on short-term Fourier transform and linear prediction.
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.
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).
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.
本文介绍了用短时傅立叶变换分析瞬态诱发耳声发射方法，并给出了其时频分布的实验结果，分析了其各个频率成份出现的不同时刻及持续时间。
This paper introduces the method of analyzing TEOAEs by short time Fourier transform and gives the experiment results of time frequency distribution, then we analyze each frequency component.
变换具有多种分辩率，克服了短时窗傅立叶变换固定分辩率的不足：另外，S -变换中含有相位因子，这是小波变换所不具备的特性。
S-transform has muti-resolution overcoming single resolution of short-time Fourier transform. Otherwise, S-transform contains phase factor which wavelet transform has not.
变换具有多种分辩率，克服了短时窗傅立叶变换固定分辩率的不足：另外，S -变换中含有相位因子，这是小波变换所不具备的特性。
S-transform has muti-resolution overcoming single resolution of short-time Fourier transform. Otherwise, S-transform contains phase factor which wavelet transform has not.
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