A Compatible Baseline Correction Algorithm for Strong-Motion Data
نویسندگان
چکیده
منابع مشابه
Stable Baseline Correction of Digital Strong-Motion Data
Most baseline errors of analog strong-motion data still exist in highresolution data. In this study, we identify the major baseline errors of digital strong-motion data and propose a three-step algorithm to correct these errors. The major baseline errors found in these digital data consist of constant drift in the acceleration, low-frequency instrument noise, low-frequency background noise, the...
متن کاملA cultural algorithm for data clustering
Clustering is a widespread data analysis and data mining technique in many fields of study such as engineering, medicine, biology and the like. The aim of clustering is to collect data points. In this paper, a Cultural Algorithm (CA) is presented to optimize partition with N objects into K clusters. The CA is one of the effective methods for searching into the problem space in order to find a n...
متن کاملa new approach to credibility premium for zero-inflated poisson models for panel data
هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
15 صفحه اولA Strong Ground Motion Catalogue of Selected Records for Shallow Crustal, Near Field Earthquakes in Iran
Understanding strong ground motions in the near-fault areas is important for seismic risk assessment in densely populated areas. In the past, lack of information on strong ground motion for large and moderate earthquakes led to the use of mainly far field large and moderate earthquake records in equations for calculation of the strong ground motion parameters. In this article, we collected and ...
متن کاملA general-purpose baseline estimation algorithm for spectroscopic data.
A common feature of many modern technologies used in proteomics--including nuclear magnetic resonance imaging and mass spectrometry--is the generation of large amounts of data for each subject in an experiment. Extracting the signal from the background noise, however, poses significant challenges. One important part of signal extraction is the correct identification of the baseline level of the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Terrestrial, Atmospheric and Oceanic Sciences
سال: 2012
ISSN: 1017-0839
DOI: 10.3319/tao.2011.10.25.01(t)