A versatile algorithm for estimating natural frequencies with high accuracy
نویسندگان
چکیده
منابع مشابه
A Modified Prony Algorithm for Estimating Sinusoidal Frequencies
We investigate the modified Prony algorithm of Osborne and Smyth (1991, 1993) applied to the estimation of the frequency of oscillation of a sinusoidal signal with added white noise, and compare it with the algorithms usually associated with the names of Prony and Pisarenko. We show that the Pisarenko algorithm returns O(N− 1 2 ) consistent estimates, and that the modified Prony algorithm retur...
متن کاملA Semi-Automatic Algorithm for Estimating Cobb Angle
Background: Scoliosis is the most common type of spinal deformity. A universal and standard method for evaluating scoliosis is Cobb angle measurement, but several studies have shown that there is intra- and inter- observer variation in measuring cobb angle manually.Objective: Develop a computer- assisted system to decrease operator-dependent errors in Cobb angle measurement.Methods: The spinal ...
متن کاملAnalysis of Natural Frequencies for a Laminated Composite Plate with Piezoelectric Patches using the First and Second Eigenvalue Derivatives
In this paper, the first and second order approximations of Taylor expansion are used for calculating the change of each natural frequency by modifying an arbitrary parameter of a system with a known amount and based on this approximation, the inverse eigenvalue problem is transformed to a solvable algebraic equation. The finite element formulation, based on the classical laminated plate theory...
متن کاملHigh location accuracy allows Reference3D supporting versatile and innovative services
Spot Image and French National Geographic Institute (IGN) are currently populating a worldwide accurate database named Reference3DTM. This database consists in three information layers : Digital Elevation Model at 1 arc-second resolution, High Resolution Orthoimage (1/6 of arc-second) and Quality Masks. Wide coverage (Dec. 05 : 11 millions km2 ; annual raise of 7 M km2) and tough requirements (...
متن کاملA New Algorithm for High Average-utility Itemset Mining
High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold. The basic HUIM problem does not consider length of itemsets in its utility measurement and utility values tend to become higher for itemsets containing more items...
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: Vibroengineering PROCEDIA
سال: 2019
ISSN: 2345-0533,2538-8479
DOI: 10.21595/vp.2019.20946