Linear Filtering
نویسنده
چکیده
A simple linear smoothing operator of general order p is constructed for discretized functions. It is particularly suited for problems in numerical integration where it is necessary or desirable to suppress two-grid-interval waves. The operator is ideal in the sense that for the class of damping operators of order p, which remove two-gridinterval waves without changing the phase of any wave component, this operator produces the least damping of the amplitudes of all other waves.
منابع مشابه
تشخیص چهره با استفاده از PCA و فیلتر گابور
Methods for face recognition which are based on face structure are among techniques without supervision and produce unfavorable results in the presence of linear changes in images. PCA is a linear transform and a powerful tool for data analysis but does not produce good results for face recognition when there are non-linear changes resulting from changes in position, intensity and gesture in th...
متن کاملChange Point Estimation of the Stationary State in Auto Regressive Moving Average Models, Using Maximum Likelihood Estimation and Singular Value Decomposition-based Filtering
In this paper, for the first time, the subject of change point estimation has been utilized in the stationary state of auto regressive moving average (ARMA) (1, 1). In the monitoring phase, in case the features of the question pursue a time series, i.e., ARMA(1,1), on the basis of the maximum likelihood technique, an approach will be developed for the estimation of the stationary state’s change...
متن کاملA linear distributed filter inspired by the Markovian jump linear system filtering problem
In this paper we introduce a consensus-based distributed filter, executed by a sensor network, inspired by the Markovian jump linear system filtering theory. We show that the optimal filtering gains of the Markovian jump linear system can be used as an approximate solution of the optimal distributed filtering problem. This parallel allows us to interpret each filtering gain corresponding to a m...
متن کاملDoes Median Filtering Truly Preserve Edges Better than Linear Filtering ?
Image processing researchers commonly assert that “median filtering is better than linear filtering for removing noise in the presence of edges.” Using a straightforward large-n decision-theory framework, this folk-theorem is seen to be false in general. We show that median filtering and linear filtering have similar asymptotic worst-case meansquared error (MSE) when the signal-to-noise ratio (...
متن کاملRobust H∞ filtering for uncertain differential linear repetitive processes via LMIs and polynomial matrices
This paper is concerned with the full-order H∞ filtering problem for uncertain differential linear repetitive processes (LRPs). uncertain differential linear repetitive process (LRP) assumed to be stable along the pass, our attention is focused on the design of a full-order filter, which guarantees the filtering error process to be stable along the pass, and minimizes an upper bound for theH∞ n...
متن کاملWell-dispersed subsets of non-dominated solutions for MOMILP problem
This paper uses the weighted L$_1-$norm to propose an algorithm for finding a well-dispersed subset of non-dominated solutions of multiple objective mixed integer linear programming problem. When all variables are integer it finds the whole set of efficient solutions. In each iteration of the proposed method only a mixed integer linear programming problem is solved and its optimal solutions gen...
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 2010