Mimo System Structural Identification: a Revisit via Wavelet Transforms
نویسندگان
چکیده
This paper presents a method for the derermination of the frequency response functions using thefast wavelet transform (FWT) as an alternative to the fast Fourier transform (FFT)-based method. After a brief description of underlying theory, a focus problem is used to examine the relative perjonnance between the FFT-based vs. the FWT-based procedures for noisy data. The performance evaluations indicate that the FWT-based method consistently yields more accurate FRFs than possible by the FFT-based method, especially for the staticjlexibiliQ when the driving frequency asymptotically approaches to zero.
منابع مشابه
Subsea Free Span Pipeline Damage Detection Based on Wavelet Transform under Environmental Load
During their service life, marine pipelines continually accumulate damage as a result of the action of various environmental forces. Clearly, the development of robust techniques for early damage detection is very important to avoid the possible occurrence of a disastrous structural failure. Most of vibration-based damage detection methods require the modal properties that are obtained from mea...
متن کاملEvaluation of Ber for Various Fading Channel in Dwt Based Mimo-ofdm System
MIMO communication is mainly use in the OFDM to improve the communication performance and capacity. DWT based MIMO-OFDM is used in this paper. Compare to the FFT based MIMO-OFDM it has lot advantages. There is no need for cyclic prefix, flexibility and optimal resolution. Ripple(Wavelet) concept has developed as a fresh scientific implement with the aim of preserve be functional in several appl...
متن کاملA Novel Methodology for Structural Matrix Identification using Wavelet Transform Optimized by Genetic Algorithm
With the development of the technology and increase of human dependency on structures, healthy structures play an important role in people lives and communications. Hence, structural health monitoring has been attracted strongly in recent decades. Improvement of measuring instruments made signal processing as a powerful tool in structural heath monitoring. Wavelet transform invention causes a g...
متن کاملForecasting Stock Market Using Wavelet Transforms and Neural Networks: An integrated system based on Fuzzy Genetic algorithm (Case study of price index of Tehran Stock Exchange)
The jamor purpose of the present research is to predict the total stock market index of Tehran Stock Exchange, using a combined method of Wavelet transforms, Fuzzy genetics, and neural network in order to predict the active participations of finance market as well as macro decision makers.To do so, first the prediction was made by neural network, then a series of price index was decomposed by w...
متن کاملFixing of Cycle Slips in Dual-Frequency GPS Phase Observables using Discrete Wavelet Transforms
The occurrence of cycle slips is a major limiting factor for achievement of sub-decimeter accuracy in positioning with GPS (Global Positioning System). In the past, several authors introduced a method based on different combinations of GPS data together with Kalman filter to solve the problem of the cycle slips. In this paper the same philosophy is used but with discrete wavelet transforms. For...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003