Spectrum analysis by autoregressive methods: Performance on application to stationary signals
In order to develop a method capable of determining the time variant spectrum of time series, various existing approaches have been investigated. Although the Fourier-based methods are superior in their computational efficiency, their inherent characteristics may sometimes limit applications. The AR...
Saved in:
Main Authors: | Kamata, Minoru, Ngamsritragul, Panyarak |
---|---|
其他作者: | Mechanical Engineering |
格式: | Article |
語言: | English |
出版: |
The Japan Society of Mechanical Engineers
2011
|
主題: | |
在線閱讀: | http://kb.psu.ac.th/psukb/handle/2010/7191 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Prince of Songkhla University |
語言: | English |
相似書籍
Statistical structural health monitoring: Methodologies and Applications
由: WANG ZENGRONG
出版: (2010)
由: WANG ZENGRONG
出版: (2010)
相似書籍
-
Mathematical Methods in Signal Processing and Digital Image Analysis
出版: (2017) -
Statistical complexity is maximized in a small-world brain
由: Tan, Teck Liang, et al.
出版: (2018) -
Mathematical properties of poisson processes
由: Cerillo, Chona R., et al.
出版: (1988) -
DSP-based spectrum analysis using the IBM PC
由: Villaseca, Joel M., et al.
出版: (1989) -
Long-range dependence of stationary processes in single-server queues
由: Carpio, Kristine Joy E.
出版: (2007)