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We begin our study on the work of Joseph Fourier (1768-1830) with the definition of the Fourier Series - a way of expressing functions as infinite sums or integrals or trigonometry functions.
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A discussion on the Convergence Theorem of a Fourier Series, a very important theorem in Fourier Analysis. How do we know when the Fourier Series converges to the function f(x).
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Let's look at the graphs of various Fourier Series. To illustrate the series, we will be taking the Nth partial sum. It is also here where we notice some interesting behaviour of some Fourier Series.
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This simple demo shows how a square wave can be represented as other functions such as a sine wave using matlab. This video also serves as a Matlab and/or simulink tutorial as applied to the concept of the Fourier seriesI will post a more thorough discussion on the Fourier Transform.
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Using the even property of a function, we'll find the Fourier Series of x^2 on [-3, 3] which serves as a example of why certain functions NEED NOT agree with its Fourier Series. A Convergence theorem is needed.
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Using our previous definitions, here is an example of how you write a Fourier Series from a graph of a function, a 'broken' function in this case.
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Lecture Series on Digital Signal Processing by Prof.S. C Dutta Roy, Department of Electrical Engineering, IIT Delhi. For More details on NPTEL visit http://nptel.iitm.ac .in
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Lecture Series on Digital Signal Processing by Prof.S. C Dutta Roy, Department of Electrical Engineering, IIT Delhi. For More details on NPTEL visit http://nptel.iitm.ac .in
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We shall take advantage of certain properties of odd and even functions to simplify our work in finding the Fourier Series.
ERRATA: For odd functions, -f(x)=f(-x). Apologies for the mistake.
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With our definitions of a Fourier Series on [-L, L], let us look at a simple example, this time a function integrable on [-3, 3].
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We now extend the basic ideas we have of Fourier Series and look at a periodic functions, ones which repeats itself after a period T.
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We will revise some basic definitions of limits and derivatives of piecewise continuous functions which are needed in learning the convergence theorem of Fourier Series.
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Using a simple substitution, we extend the definition of a Fourier Series of a function, this time integrable from -L to L.
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Lecture Series on Networks and Systems by Prof. V.G.K.Murti, Department of Electrical Engineering,IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac .in
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We find the Fourier Series of a periodic function g(x), write it in its phase angle form and glimpse at its amplitude spectrum.
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Lecture Series on Networks and Systems by Prof. V.G.K.Murti, Department of Electrical Engineering,IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac .in
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Lecture Series on Networks and Systems by Prof. V.G.K.Murti, Department of Electrical Engineering,IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac .in
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Lecture Series on Networks and Systems by Prof. V.G.K.Murti, Department of Electrical Engineering,IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac .in
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Lecture Series on Networks and Systems by Prof. V.G.K.Murti, Department of Electrical Engineering,IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac .in
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Using the convergence theorem, we have another looking at the Fourier Series of a simple function f(x) = 2x on [-pi, pi].
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