与传统功率谱估计、最大熵谱估计结果的对比表明，多窗谱分析方法方法得到的谱估计分辨力高，稳定性强。
Compared to the Black-Tukey method and Maximum entropy method, the spectral estimations based on MTM are of high resolution and strong stability.
在滤波器的设计方面，传统的基于短时谱分析的方法具有易实现，实用性强的特点。
In the design of filter, classical methods are based on Short Time Spectral Analysis (STSA).
这个系统将最大熵谱分析方法应用于在线监测分析中，解决了传统在线分析方法的窗函数和能量泄漏等问题，提高了分析过程的故障识别率。
The system solves the problems of the traditional on line analysis method, such as the window function and energy leak, and promote fault recognition rate.
传统语音信号谱特征的提取是基于FFT 的能谱分析方法，在噪音环境情况下，对噪音的频谱成分与语音信号的频谱成分的处理采用“平均主义”的原则。
Traditional speech signal processing is based on FFT power spectral analysis, in noisy condition, the spectrum of noise and speech signal are processed in the same way.
再结合传统的功率谱分析方法讨论了水分条件的年际周期变化。
The dry-wet cycle and the climatic accident of the water content in year's periods are revealed.
在信号处理中，传统的功率谱分析方法包含的信息量少，谱相关方法较前者具有更多优点。
In signal processing field, the spectrum correlative technology has more advantages than the conventional power spectrum method, because the latter includes less information.
在信号处理中，传统的功率谱分析方法包含的信息量少，谱相关方法较前者具有更多优点。
In signal processing field, the spectrum correlative technology has more advantages than the conventional power spectrum method, because the latter includes less information.
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