Title :
Nonstationary signal analysis with anti-alias filtering on a two dimensional plane
Author :
Takizawa, Yumi ; Fukasawa, Atsushi
Author_Institution :
Inst. of Stat. Math., Minist. of Educ., Tokyo, Japan
Abstract :
This paper describes a ubiquitous theoretical basis of the IMEM (Instantaneous Maximum Entropy Method) developed for the analysis of nonstationary signals and processes. This method analyzes nonstationary characteristics by an instantaneous evaluation function and filtering of time-dependent autocorrelations. This paper has given and clarified a theoretical basis of the sampling method with anti-alias filtering for nonstationary signals
Keywords :
antialiasing; filtering theory; maximum entropy methods; signal representation; signal sampling; spectral analysis; anti-alias filtering; instantaneous evaluation function; instantaneous maximum entropy method; nonstationary signal analysis; sampling method; time-dependent autocorrelations; two dimensional plane; Autocorrelation; Character generation; Data mining; Filtering; Frequency; Mathematics; Sampling methods; Signal analysis; Signal generators; Signal processing;
Conference_Titel :
Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on
Conference_Location :
Pafos
Print_ISBN :
0-7803-5682-9
DOI :
10.1109/ICECS.1999.814396
