discrete fourier transform (examples and solutions)


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obtainedbysamplinginfrequencyatregularintervals WethereforedefinetheN-point discrete Fourier transform X[k]ofasignalx[n]assamplesofitstransformX(f)takenatintervalsof 1/N: X[k]= X(k/N)= ∞ n=−∞ x[n]e−j2πkn/N for0≤ k≤ N−1(4 1) BecauseX(f)isperiodicwithperiod1X[k]isperiodicwithperiodNwhichjustifiesonly

PDF Math 563 Lecture Notes The discrete Fourier transform

De nition (Discrete Fourier transform): Suppose f(x) is a 2ˇ-periodic function Let x j = jhwith h= 2ˇ=N and f j = f(x j) The discrete Fourier transform of the data ff jgN 1 j=0 is the vector fF kg N 1 k=0 where F k= 1 N NX1 j=0 f je 2ˇikj=N (4) and it has the inverse transform f j = NX 1 k=0 F ke 2ˇikj=N: (5) Letting ! N = e 2ˇi=N the

PDF Lecture 15: Discrete-Time Fourier Transform

Review: Frequency Response Discrete Time Fourier Transform Properties of the DTFT Examples Summary

PDF Lecture 20: Discrete Fourier Transform

The DTFT (discrete time Fourier transform) of any signal is X(!) given by 1 = X(!) X x[n]e j!n n=1 1 Z x[n] = 2 X(!)ej!nd! Particular useful examples include: f [n] = [n] $ F(!) = 1 g[n] = [n n0] $ G(!) = e j!n0 Properties of the DTFT Properties worth knowing include: 0 Periodicity: X(! + 2 ) = X(!) Linearity: z[n] = ax[n] + by[n] $ Z(!) = aX(!)

PDF Lecture 7 -The Discrete Fourier Transform

samples (b) implicit periodicity in DFT Since the operation treats the data as if it were periodic we evaluate the DFT equation for the fundamental frequency (one cycle per sequence Hz rad/sec ) and its harmonics (not forgetting the d c component (or average) at ) i e set or in general

  • Can a continuous Fourier transform be evaluated over a finite interval?

    You may remember that the continuous Fourier transform could be evaluated over a finite interval (usually the fundamental period ) rather than from to if the waveform was periodic. Similarly, since there are only a finite number of input data points, the DFT treats the data as if it were periodic (i.e. to is the same as to .)

Outline

Review: Frequency Response Discrete Time Fourier Transform Properties of the DTFT Examples Summary courses.engr.illinois.edu

Response of LSI System to Aperiodic Inputs

But what about signals that never repeat themselves? Can we still write something like Y () = H()X()? courses.engr.illinois.edu

Outline

Review: Frequency Response Discrete Time Fourier Transform Properties of the DTFT Examples Summary courses.engr.illinois.edu

Aperiodic

An \\aperiodic signal" is a signal that is not periodic. Music: strings, woodwinds, and brass are periodic, drums and rain sticks are aperiodic. Speech: vowels and nasals are periodic, plosives and fricatives are aperiodic. Images: stripes are periodic, clouds are aperiodic. Bioelectricity: heartbeat is periodic, muscle contractions are aperiodic. A

Fourier Series and Fourier Transform

Discrete-Time Fourier Series (DTFS): kn Xk x[n] Discrete-Time Fourier Transform (DTFT): x[n] courses.engr.illinois.edu

Outline

Review: Frequency Response Discrete Time Fourier Transform Properties of the DTFT Examples Summary courses.engr.illinois.edu

Z() X jn = z[n]e

n = a x[n]e + X jn X b y[n]e = aX() + bY () jn courses.engr.illinois.edu

4. Convolution Property

Convolving in time is the same as multiplying in frequency: y[n] = h[n] x[n] courses.engr.illinois.edu

Outline

Review: Frequency Response Discrete Time Fourier Transform Properties of the DTFT Examples Summary courses.engr.illinois.edu

Impulse and Delayed Impulse

For our examples today, let's consider di erent combinations of these three signals: courses.engr.illinois.edu

G() = G()F() H() = H()F()

Since multiplication in frequency is the same as convolution in time, that must mean that when you convolve any signal with an impulse, you get the same signal back again: g[n] = g[n] [n] h[n] = h[n] [n] Convolution Property and the Impulse courses.engr.illinois.edu

Outline

Review: Frequency Response Discrete Time Fourier Transform Properties of the DTFT Examples courses.engr.illinois.edu

Outline

Review: Frequency Response Discrete Time Fourier Transform Properties of the DTFT Examples Summary courses.engr.illinois.edu

Discrete Fourier Transform (DFT) for the given sequence

Discrete Fourier Transform (DFT) for the given sequence

Discrete Fourier Transform

Discrete Fourier Transform

#1 (DTFT)Discrete Time Fourier Transform

#1 (DTFT)Discrete Time Fourier Transform

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Discrete Time Fourier Transform

Discrete Time Fourier Transform

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The Fourier Series

The Fourier Series

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Discrete Fourier Transform - MATLAB \u0026 Simulink

Discrete Fourier Transform - MATLAB \u0026 Simulink

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Discrete Fourier transform - Wikipedia

Discrete Fourier transform - Wikipedia

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Periodic Nature of the DFT

Periodic Nature of the DFT

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5 Questions \u0026 Answers on Discrete Fourier Transform – Properties

5 Questions \u0026 Answers on Discrete Fourier Transform – Properties

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