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For a signal in the CFM family, the phase function can be considered as a polynomial phase signal according to the Weierstrass theorem.
To put this in perspective, consider the order of a polynomial function, which is the size of its highest exponent.
Specifically, the circumference of a circle or the area of a sphere increases as a polynomial function of its radius.
It decreases with as an exponential function and decreases with as a polynomial function.
The set of solutions of a polynomial function is represented as a Binary Decision Diagram [ 29], which is a data structure meant to represent functions on finite domains.
(When the powers of x can be any real number, the result is known as an algebraic function). Polynomial functions have been studied since the earliest times because of their versatility practically any relationship involving real numbers can be closely approximated by a polynomial function.
The formula for the area of a circle is an example of a polynomial function.
To increase the signal-noise ratio, the signal was subsequently fitted by a polynomial function.
Represent the solutions of a polynomial function over ℤ/3ℤ efficiently.
In the pole assignment framework the desired closed-loop polynomial can be considered as a design polynomial.
In this paper, we select a polynomial function as the kernel function of SVM classifier.
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