Similarities between B-spline and Savitzky–Golay filter
B-spline and Savitzky–Golay filter have 5 things in common (in Unionpedia): Cauchy distribution, Loss function, Moving average, Numerical differentiation, Polynomial.
Cauchy distribution
The Cauchy distribution, named after Augustin Cauchy, is a continuous probability distribution.
B-spline and Cauchy distribution · Cauchy distribution and Savitzky–Golay filter ·
Loss function
In mathematical optimization, statistics, econometrics, decision theory, machine learning and computational neuroscience, a loss function or cost function is a function that maps an event or values of one or more variables onto a real number intuitively representing some "cost" associated with the event.
B-spline and Loss function · Loss function and Savitzky–Golay filter ·
Moving average
In statistics, a moving average (rolling average or running average) is a calculation to analyze data points by creating series of averages of different subsets of the full data set.
B-spline and Moving average · Moving average and Savitzky–Golay filter ·
Numerical differentiation
In numerical analysis, numerical differentiation describes algorithms for estimating the derivative of a mathematical function or function subroutine using values of the function and perhaps other knowledge about the function.
B-spline and Numerical differentiation · Numerical differentiation and Savitzky–Golay filter ·
Polynomial
In mathematics, a polynomial is an expression consisting of variables (also called indeterminates) and coefficients, that involves only the operations of addition, subtraction, multiplication, and non-negative integer exponents of variables.
B-spline and Polynomial · Polynomial and Savitzky–Golay filter ·
The list above answers the following questions
- What B-spline and Savitzky–Golay filter have in common
- What are the similarities between B-spline and Savitzky–Golay filter
B-spline and Savitzky–Golay filter Comparison
B-spline has 42 relations, while Savitzky–Golay filter has 55. As they have in common 5, the Jaccard index is 5.15% = 5 / (42 + 55).
References
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