【摘要】 信号分析被广泛用于消噪、特征提取、状态识别、故障诊断等。常用的方法有参数化分析法和非参数化分析法。参数化分析方法有ARMA模型、分形维数计算及用于判别微弱信号存在性的混沌分析法等 ;非参数化方法即谱分析方法 ,包括传统的DFT谱方法及在此基础上的提高频率分辨能力 (如AR功率谱 )和时频联合分析 (小波分解、Wigner谱 )等内容。文中对各种方法的原理、特点作了综述 ,并结合实例说明了它们的应用更多还原

【Abstract】 Signal processing algorithms have been broadly used for cancelling noise, extracting feature, identifying status and diagnosing malfunction. Many branches of signal processing methods have been developed, including parametric analysis and non parametric analysis. The parametric analyses include ARMA model, fractal dimension, and chaotic analysis for detecting weak signals in strong noise environments. The non parametric analyses include regular DFT spectrum, high resolution spectrum (AR power spectrum), frequency/time joint analyses (wavelets,Wigner distributions). The principles of those methods are reviewed, and their characters are compared with each other. Their applications are exemplified.更多还原