This algorithm needs shorter data window time and has higher calculation precision and is not affected by deviation of power frequency.
这种算法具有所需数据窗的时间短、计算精度高和不受系统频率偏差影响的优点。
There will be an antinomy among sample frequency, memory capacitance and the width of window of sample time for developing the resolving power of LA while we taking the LA to test an digital system.
在用逻辑分析仪测试数字系统时，为了提高逻辑分析仪的分辨力，会产生采样频率、存储容量与采样时间窗口宽度之间的矛盾。
The fitting difference is reduced and the precise of quantitative interpretation is improved by means of joint TF inversion with time and frequency window data.
利用时间窗数据和频率窗数据所进行的联合时-频反演，缩小了拟合差，提高了定量解释精度。
In fact, the FFT spectrum is the convolution between read time series and window function in domain of frequency, the dominant frequency position influence on leakage should not be ignored.
由于实际信号和窗函数在频域为卷积关系，所以应该考虑实际频率在FFT谱上所处的位置。
Though increasing the time window length or the sampling number can improve frequency resolution, yet the calculation will be cumbersome.
欲提高频率分辨率，只有增加时间窗长度或增加采样点数，这又必然会增大计算量。
The time frequency window is adjusted conveniently by using optimum base searching method, moreover, it's not necessary to have stable wave assumption in the window.
通过采用局部余弦最佳基搜索方法，对信息实现不同的时间分割，可非常容易地调整时频窗。不需要在分析窗内对信号作平稳假定，所得结果与原信号完全同步。
Each filter has flexible adjustability of its time window and frequency bandwidth. Therefore, high mode resolution and short observation time window can be self-adaptively achieved.
每个滤波单元时频域带宽柔性可调，能根据测量要求自适应取得较高的模式分辨率和较短的观测时窗长度。
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。
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