cs lecture 3.ppt
TRANSCRIPT
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Analysis and Transmission of
Signals
Lecture 3
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Introduction
Integrals are used for taking care of continuous value
function sum
Summation is used for totaling discrete values function
For periodic signals we use Fourier series used indiscrete spectrum
For aperiodic signals, we use Fourier transform used
in continuous spectrum
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Aperiodic Signal Representation by Fourier Integral
Figure: 3.1
1. An aperiodic function never repeats, although technically an aperiodic function can be considered like
a periodic function with an infinite period.
2. A periodic waveform lasts for ever, it is an everlast ingsignal. An everlasting signal exists in theory, but
not in real world.
3. The Fourier Transform is used similarly to the Fourier Series, in that it converts a time-domain function
into a frequency domain representation
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Aperiodic Signal Representation by Fourier
Integral
Including the dc component having f=0
Limiting process
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Aperiodic Signal Representation by Fourier ..
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Fundamental frequency
and
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Everlasting signalstarts from t-infinity and runs towards t-infinity.
Causal signalstarts at t=0 and continues to run towards t-infinity.
Fig: 3.3
Fig: 3.2
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1. Fourier series is used for spectral analysis of periodic waves. FT is used for spectral
analysis of aperiodic signal.
2. This property is called Duality.
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i. Cos(x) = Cos(-x)
ii. Sin(-x) = -Sinx
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Sol.
FT of a signal g(t) is a spectral representation of g(t) in terms of everlasting exponential component of the form e(iwt)
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Load distribution is discrete
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Load distribution is continuous
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Discussion
Spectral distribution is discrete
Spectral distribution is continuous
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1.
The rectangular function(also known as the rectangle function, rect function, Pi function, gate
function, unit pulse, or the normalized boxcar function).
In mathematics, a boxcar functionis any function which is zero over the entire real line
except for a single interval where it is equal to a constant,
http://localhost/var/www/apps/conversion/tmp/scratch_3//upload.wikimedia.org/wikipedia/commons/d/d5/Boxcar_function.svghttp://localhost/var/www/apps/conversion/tmp/scratch_3//upload.wikimedia.org/wikipedia/commons/d/d5/Boxcar_function.svghttp://localhost/var/www/apps/conversion/tmp/scratch_3//upload.wikimedia.org/wikipedia/commons/d/d5/Boxcar_function.svg -
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2.
The function is useful in signal processing and comm unicat ion systems engineer ingas a representation
of an idealized signal, and as a prototype or kernel from which more realistic signals can be derived.
It also has applications in pulse code modulation as a pulse shape for transmitting digital signals and as a
matched filter for receiving the signals.
Proof: The transform is easily determined using the convolution property of FT and the FT ofthe rect function:
Applications
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EXAMPLE 3.2
Solution
Fig: 3.10
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Example 3.4
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Solution
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