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.
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.
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.
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.
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.
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