Fourier Series representation for signals

In summary, the Matlab function "fourier1" reconstructs a signal using a finite set of Fourier series coefficients, the fundamental period T, and a time vector t.
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Homework Statement


a) Write a Matlab function, which accepts the following inputs

-a finite set of Fourier series coefficients

-the fundamental period T of the signal to be reconstructed

-a vector t representing the times for which the signal will be reconstructed


Homework Equations





The Attempt at a Solution


function fourier1=f(a,T,t)
fourier1=zeros(length(a),1);
for n=1:length(a)
fourier1(n)=(a(n)*exp((i*(2*pi/T)*n*t)));
end;
 
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Explanation:

This function, named "fourier1", takes in three inputs: a finite set of Fourier series coefficients, the fundamental period T, and a vector t representing the times for which the signal will be reconstructed. It first initializes a vector called "fourier1" with the same length as the input coefficients. Then, using a for loop, it calculates each term of the Fourier series using the formula a(n)*exp((i*(2*pi/T)*n*t)), where n is the index of the current coefficient and t is the time vector. Finally, it returns the reconstructed signal in the form of the vector "fourier1".
 

What is a Fourier Series representation for signals?

A Fourier Series representation for signals is a mathematical tool used to decompose a periodic signal into a sum of sinusoidal components. It allows us to analyze a complex signal in terms of simpler sinusoidal components, which can help with understanding its frequency content and behavior.

What is the formula for a Fourier Series representation?

The formula for a Fourier Series representation is given by: where and are the Fourier coefficients and is the period of the signal.

What is the significance of the Fourier coefficients?

The Fourier coefficients and represent the amplitude of the sinusoidal components in the Fourier Series representation. They provide information about the strength and frequency content of the signal, and can be used to reconstruct the original signal.

What is the difference between a Fourier Series and a Fourier Transform?

A Fourier Series is used to represent a periodic signal in terms of a sum of sinusoidal components, while a Fourier Transform is used to represent a non-periodic signal in terms of a continuous spectrum of frequencies. A Fourier Series is limited to representing periodic signals, while a Fourier Transform can be applied to any signal, regardless of its periodicity.

What are some practical applications of Fourier Series representation?

Fourier Series representation has many practical applications, such as in signal processing, image and sound compression, and data analysis. It is also used in various fields of science and engineering, including physics, chemistry, and electrical engineering, to analyze and understand complex systems and signals.

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