03 Signals Fourier-VP

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    Signals, Fourier Series, Fourier Transform

    Analog Digital Modulations

    September 2011Prepared by

    Assoc Prof. Thuong Le-Tien

    Slides with references from HUT Finland, LaHore uni., Mc. Graw Hill Co., and A.B. Carlsons

    Communication Systems book

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    Review of Signals and Spectra A generic sinusoidal

    signal

    Phasor representation

    Frequency domainrepresentation

    Rotating phasors Frequency plots

    Amplitude Phase

    A

    w0t +

    f0f0 f

    f0 f

    A

    Amplitude

    Phase

    000 2);cos()( ftAtv

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    Two sided spectra can be seen from

    This represents two rotating phasors

    Amplitude and phase spectrum (two sided)

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    Periodic Signals

    A signal is periodic if there existssuch that

    Smallest such is called fundamentalperiod

    Any integer multiple of is also a period

    x p(t)

    x (t) = x (t + T)

    T

    T

    T0

    T0

    T0

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    Average signal and Power

    Average signal

    For periodic signals

    Average power

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    Fourier Series Representation Projection of periodic signals onto basis

    functions

    Periodic signal is a weighted sum of these basisfunctions

    Exponentials are used as basis functions forwriting Fourier series

    Any periodic signal can be expressed as asum of infinite number of exponentials (orsinusoids for real signals)

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    Fourier Series

    f0 = T01 (fundamental frequency)

    Line spectra at frequencies that are integermultiple of fundamental frequency

    DC component:

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    Fourier series example:

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    Fourier Series: Example

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    Fourier Transform

    Back to the Fourier series:

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    Three major properties of V(f)

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    Rectangular pulse spectrum

    V() = A sinc Figure 2.2-2

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    Signal transmission through linear systems

    Deterministic signals:

    Random signals:

    Ideal distortion less transmission:

    All the frequency components of the signal notonly arrive with an identical time delay, but alsoare amplified or attenuated equally.

    Input Output

    Linear system

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    Ideal filters:

    Realizable filters:

    RC filters Butterworth filter

    High-pass

    Low-pass

    Band-pass

    Non-causal!

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    Bandwidth of signal

    Baseband versus bandpass:

    Bandwidth dilemma:

    Bandlimited signals are not realizable!

    Realizable signals have infinite bandwidth!

    Baseband

    signal

    Bandpass

    signal

    Local oscillator

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    Bandwidth of signal

    Different definition of bandwidth:a) Half-power bandwidth

    b) Noise equivalent bandwidth

    c) Null-to-null bandwidth

    a) Fractional power containment bandwidth

    b) Bounded power spectral density

    c) Absolute bandwidth

    (a)

    (b)

    (c)

    (d)

    (e)50dB