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Numerical Integration and Orthogonal Expansion | part of Problem-Based Learning in Communication Systems Using MATLAB and Simulink | Wiley-IEEE Press books | IEEE Xplore

Numerical Integration and Orthogonal Expansion

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Chapter Abstract:

In MATLAB, numerical integration of an arbitrary function can be done by using the so-called Riemann sum. This chapter shows an m-file example that calculates the definit...Show More

Chapter Abstract:

In MATLAB, numerical integration of an arbitrary function can be done by using the so-called Riemann sum. This chapter shows an m-file example that calculates the definite integral using the simplest version of Riemann sum. The integrals are calculated by using symbolic math. The results obtained by using symbolic math are compared with numerical integration result. Normalized error is used to compute the difference of these results. The chapter illustrates an arbitrary function as a linear combination of orthogonal basis functions. It also illustrates three examples of the time-limited functions, and provides step-by-step code exercises and instructions to implement execution sequences. The chapter is designed to help teach and understand communication systems using a classroom-tested, active learning approach.

Page(s): 16 - 23
Copyright Year: 2016
Edition: 1
ISBN Information:
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