S transform(ST) combines the advantages of short time Fourier transform(STFT) and wavelet transform(WT). It is a powerful means for time-frequency analysis of non-stationary signal.
S变换结合了短时傅里叶变换和小波变换的优点,是非平稳信号时频分析的有力工具。
参考来源 - 基于广义S变换的信号提取与抑噪The main work of this dissertation is summarized as follows:Continuous and discrete wavelet transform is researched according to analysis of the origin of wavelet transform and the shortcoming of Short Time Fourier Transform.
本文的主要工作内容有： 通过分析小波变换的思想来源，短时Fourier变换的缺陷研究了连续小波变换和离散小波变换。
参考来源 - 基于小波变换的嵌入式图像编码方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Results of analysing Doppler signals simulated using this method with the short time Fourier transform show agreement with the theoretical prediction.
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。
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.
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。
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.
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。
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