ARMASA
버전 1.2.0.0 (403 KB) 작성자:
Piet M T Broersen
Automatic program to estimate the power spectral density with only statistically significant details
Features a unique program to estimate the power spectral density. The spectrum containing all significant details is calculated from a time series model. Model type as well as model order are determined automatically from the data, using statistical criteria. Robust estimation algorithms and order selection criteria are used to obtain reliable results. Unlike in FFT analysis, where the experimenter has to set the amount of smoothing of the raw FFT, the right level of detail is assessed using the data only.
인용 양식
Piet M T Broersen (2025). ARMASA (https://kr.mathworks.com/matlabcentral/fileexchange/1330-armasa), MATLAB Central File Exchange. 검색 날짜: .
MATLAB 릴리스 호환 정보
개발 환경:
R11
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux카테고리
Help Center 및 MATLAB Answers에서 Conditional Mean Models에 대해 자세히 알아보기
태그
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!