Numerical differentiation with annihilators in noisy environment
نویسندگان
چکیده
منابع مشابه
qfd planning with cost consideration in fuzzy environment
در عصر حاضر که رقابت بین سازمان ها بسیار گسترش یافته است، مطالعه و طرحریزی سیستم های تولیدی و خدماتی به منظور بهینه سازی عملکرد آنها اجتناب ناپذیر می باشد. بخش عمده ای از رقابت پذیری سازمان ها نتیجه رضایتمندی مشتریان آنها است. میزان موفقیت سازمان های امروزی به تلاش آنها در جهت شناسایی خواسته ها و نیازهای مشتریان و ارضای این نیازها بستگی دارد. از طرفی کوتاه کردن زمان ارائه محصول/خدمات به مشتریان...
15 صفحه اولNumerical Differentiation of Noisy, Nonsmooth Data
In many scientific applications, it is necessary to compute the derivative of functions specified by data. Conventional finite-difference approximations will greatly amplify any noise present in the data. Denoising the data before or after differentiating does not generally give satisfactory results see an example in Section 4 . A method which does give good results is to regularize the differe...
متن کاملMethods for Numerical Differentiation of Noisy Data
We describe several methods for the numerical approximation of a first derivative of a smooth real-valued univariate function for which only discrete noise-contaminated data values are given. The methods allow for both uniformly distributed and non-uniformly distributed abscissae. They are compared for accuracy on artificial data sets constructed by adding Gaussian noise to simple test function...
متن کاملOn the numerical differentiation problem of noisy signal
This paper discusses the relevant theoretical problem of the numerical derivative estimation of noisy signals. In this paper, a comparative study of some different schemes of the differentiators is given: Kalman filter, the well-known Super Twisting algorithm, Super Twisting with dynamic gains and Euler backward difference method. The analysis of the study results can focus on the strengths and...
متن کاملFractional order differentiation by integration and error analysis in noisy environment : Part 1 continuous case
The integer order differentiation by integration method based on the Jacobi orthogonal polynomials for noisy signals was originally introduced by Mboup, Join and Fliess [1], [2]. We are going to generalize this method from the integer order to the fractional order so as to estimate the fractional order derivatives of noisy signals. For sake of clarity, this work has been divided into two parts....
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: Numerical Algorithms
سال: 2008
ISSN: 1017-1398,1572-9265
DOI: 10.1007/s11075-008-9236-1