Prony算法工具箱。Prony方法是用一組指數(shù)項(xiàng)的線(xiàn)性組合來(lái)擬和等間距采樣數(shù)據(jù)的方法,可以從中分析出信號(hào)的幅值、相位、阻尼因子、頻率等信息。considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.
標(biāo)簽：
Prony
considerations
including
data
上傳時(shí)間：
2015-09-11
上傳用戶(hù)：lizhizheng88
