The window Fourier transform(WFT )is one solution to the problem of better representing the nonperiodic signal.
窗口傅里叶变换能够更好的解决关于非周期信号的表示问题。
A new method that USES the tight support window signal together with the fractional Fourier transform (FRFT) is discussed.
主要讨论了一种将加紧支撑窗与分数阶傅里叶变换相结合的信号处理方法。
The measuring accuracy has been improved due to adopting Inverse Fourier Transform based on adding window in frequency domain.
同时为了减少时域响应的泄漏,进一步提高测量精度,采用了基于频域加窗的逆傅里叶变换;
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。
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。
应用推荐