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On the complexity of curve fitting algorithms
, 2008
"... We study a popular algorithm for fitting polynomial curves to scattered data based on the least squares with gradient weights. We show that sometimes this algorithm admits a substantial reduction of complexity, and, furthermore, find precise conditions under which this is possible. It turns out that ..."
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Cited by 3 (0 self)
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We study a popular algorithm for fitting polynomial curves to scattered data based on the least squares with gradient weights. We show that sometimes this algorithm admits a substantial reduction of complexity, and, furthermore, find precise conditions under which this is possible. It turns out
FREQUENCY VALUATION IN CURVE FITTING ALGORITHM
, 2006
"... Abstract: The possibility to use the Curve Fitting Algorithm (CFA), for the Power Quality (PQ) parameters valuation foreseen by the EN 50160 Rule, is faced in terms of frequency determination. The comparison between the loop algorithm performance in the frequency determination and the thrown one, us ..."
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Cited by 2 (2 self)
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Abstract: The possibility to use the Curve Fitting Algorithm (CFA), for the Power Quality (PQ) parameters valuation foreseen by the EN 50160 Rule, is faced in terms of frequency determination. The comparison between the loop algorithm performance in the frequency determination and the thrown one
Statistical efficiency of curve fitting algorithms
 Computational Statistics and Data Analysis
, 2004
"... We study the problem of fitting parametrized curves to noisy data. Under certain assumptions (known as Cartesian and radial functional models), we derive asymptotic expressions for the bias and the covariance matrix of the parameter estimates. We also extend Kanatani’s version of the CramerRao lowe ..."
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Cited by 28 (2 self)
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We study the problem of fitting parametrized curves to noisy data. Under certain assumptions (known as Cartesian and radial functional models), we derive asymptotic expressions for the bias and the covariance matrix of the parameter estimates. We also extend Kanatani’s version of the Cramer
NorthHolland Error analysis for piecewise quadratic curve fitting algorithms
, 1986
"... Abstract. We analyze the convergence of piecewise quadratic curve fitting algorithms which preserve geometric properties of the data such as monotonicity and convexity. In the process, we suggest two new algorithms which improve the order of convergence of existing algorithms. ..."
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Abstract. We analyze the convergence of piecewise quadratic curve fitting algorithms which preserve geometric properties of the data such as monotonicity and convexity. In the process, we suggest two new algorithms which improve the order of convergence of existing algorithms.
A Curve Fitting Algorithm for Character Fonts
, 1993
"... This paper presents an algorithm that automatically generates outline fonts from a greylevel image of a character obtained by a scanner. Our algorithm begins by extracting contour points from the image and dividing the points into a number of segments at the corner points. The next step is fitting ..."
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Cited by 9 (1 self)
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This paper presents an algorithm that automatically generates outline fonts from a greylevel image of a character obtained by a scanner. Our algorithm begins by extracting contour points from the image and dividing the points into a number of segments at the corner points. The next step is fitting
Curvefitting algorithms for shape error concealment
 in Proceedings of the 5th Nordic Signal Processing Symposium
, 2002
"... Introduction of Video Objects (VOs) is one of the major contributions of MPEG4 to the previous MPEG standards. The aplane of a VO defines its shape and hence determines the boundary of its texture. In error prone communication networks, shape information, as well ..."
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Cited by 2 (1 self)
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Introduction of Video Objects (VOs) is one of the major contributions of MPEG4 to the previous MPEG standards. The aplane of a VO defines its shape and hence determines the boundary of its texture. In error prone communication networks, shape information, as well
oro.open.ac.uk DIGITAL MEASUREMENT OF LIGHTNING IMPULSE PARAMETERS USING CURVING FITTING ALGORITHMS
"... and other research outputs Digital measurement of lightning impulse parameters using curving fitting algorithms Conference Item How to cite: ..."
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and other research outputs Digital measurement of lightning impulse parameters using curving fitting algorithms Conference Item How to cite:
Curve Fitting Algorithm Using Iterative Error Minimization for Sketch Beautification
"... In previous sketch recognition systems, curve has been fitted by a bit heuristic method. In this paper, we solved the problem by finding the optimal parameter of quadratic Bezier curve and utilize the error minimization between an input curve and a fitting curve by using iterative error minimization ..."
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Cited by 1 (0 self)
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In previous sketch recognition systems, curve has been fitted by a bit heuristic method. In this paper, we solved the problem by finding the optimal parameter of quadratic Bezier curve and utilize the error minimization between an input curve and a fitting curve by using iterative error
Application of least square curve fitting algorithm based on LabVIEW in pressure
"... detection system ..."
Trifirò: “CurveFittingAlgorithm (CFA) as Power Quality Basic Algorithm”, Proceedings of the XVII IMEKO WORLD CONGRESS, Metrology for a Sustainable Progress, Rio de Janeiro
, 2006
"... Abstract: Many computing techniques are used to evaluate Power Quality parameters, each showing specific advantages and disadvantages. This paper presents an improvement of Curve Fitting Algorithm (CFA) having good accuracy in the estimation of the signal’s power quality parameters. ..."
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Cited by 3 (3 self)
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Abstract: Many computing techniques are used to evaluate Power Quality parameters, each showing specific advantages and disadvantages. This paper presents an improvement of Curve Fitting Algorithm (CFA) having good accuracy in the estimation of the signal’s power quality parameters.
Results 1  10
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