These new capabilities extend the analysis power of Agilent's signal and spectrum analyzers, enabling them to address even the most difficult application challenges.
这些新性能扩展了安捷伦的信号和光谱分析仪的分析能力，使它们能满足甚至是更难的应用挑战。
Power spectrum analysis is always used in spectrum analysis of cavitation noise. However, it is obviously unfit for research on the transient signal such as cavitation noise.
空化噪声的谱分析一般采用功率谱分析，而功率谱分析在研究空化噪声这种具有很强突变性的信号具有明显的缺陷。
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.
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。
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