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Review of Fourier Series

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Pj = power through the first j harmonics = (1/4) C02 (1/2) n=1 ... High degree of multiplexing easier with digital techniques. Security & Privacy. Encryption ... – PowerPoint PPT presentation

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Title: Review of Fourier Series


1
Lecture 2
  • Review of Fourier Series
  • Review of Fourier Transforms
  • Example
  • Spectrum and bandwidth
  • Relationship between data rate and bandwidth
  • Analog and digital data transmission

2
Spectrum Bandwidth
  • Spectrum
  • range of frequencies contained in signal
  • Examples
  • (1) for s(t) sin(2?f1t) 1/3 sin(2p(3f1)t) the
    spectrum is from f1 to 3f1
  • (2) for s(t) square wave of time period T
    (1/f) the spectrum is f to ?
  • Absolute bandwidth
  • width of spectrum
  • Examples
  • (1) absolute bandwidth is 2f1
  • (2) absolute bandwidth is ?

3
Spectrum Bandwidth
  • Effective bandwidth
  • Often just bandwidth
  • band of frequencies containing most of the energy
  • DC Component
  • Component of zero frequency

4
Power Spectrum
  • The function s(t) specifies the signal in terms
    of voltage or current
  • The average power of a time limited signal is
    given by
  • P (1/t2 - t1) ?t1-gtt2 x(t)2 dt
  • For periodic signal the average power in one
    period (T) is given by
  • P (1/T) ?0-gtT x(t)2 dt

5
Power Spectrum
  • We would like to know the signal power as a
    function of the frequency -- power spectral
    density
  • For periodic signals the power spectrum is
    discrete
  • Pj power through the first j harmonics
  • (1/4) C02 (1/2) ?n1 -gtj cn2
  • For aperiodic signal the power spectrum is
    continuous
  • P power contained in a band of frequencies f1
    and f2 2 ?f1 -gt f2 S(f) df

6
Power Spectrum
  • Half-power bandwidth
  • Range of frequencies at which S(f) has dropped to
    half of its maximum value of power
  • Pasevals Power Theorem
  • The normalized value of the mean power of a
    periodic signal is equal to the sum of squared
    amplitudes of all harmonic components of signal
    s(t).

7
Relationship Between Data Rate and Bandwidth
  • Just like the signal has a bandwidth, any
    transmission system has a bandwidth
  • the transmission medium accommodates a limited
    band of frequencies
  • This limits the data rate that can be carried
  • Consider a periodic square wave s(t) of period T
  • Using Fourier series the square wave can be
    expressed as
  • s(t) (4?/k) ? n odd n1 -gt ? (1/n)sin(2?nf1t)
  • where f11/T is the period of the signal

8
Relationship Between Data Rate and Bandwidth
  • This waveform has infinite number of harmonics
    and hence infinite bandwidth
  • The peak amplitude of the kth component is 1/k
    that of the fundamental frequency
  • Most of the power will be concentrated in the
    first few harmonics

9
Case 1
  • Let us consider that the square wave is very well
    approximated by the first three harmonics. I.e.,
  • s(t) 4/p (sin 2pft 1/3 sin 2p 3f t 1/5 sin
    2p 5f t)

10
signal noise
signal
noise
Figure 3.12
11
Signal to Noise Ratio
signal noise
signal
noise
Figure 3.12
12
Analog and Digital Data Transmission
  • Data
  • Entities that convey meaning
  • Signals
  • Electric or electromagnetic representations of
    data
  • Transmission
  • Communication of data by propagation and
    processing of signals

13
Data
  • Analog
  • Continuous values within some interval
  • e.g. sound, video
  • Digital
  • Discrete values
  • e.g. text, integers

14
Analog (Stream) Date
  • Voice, video occur in steady stream
  • The data can take continuous values

15
Block (Digital) Data
  • Examples
  • Text files
  • Scanned color documents

Figure 3.1
16
Video Data
_at_ 30 frames/sec 10.4 x 106 pixels/sec
_at_ 30 frames/sec 67 x 106 pixels/sec
17
Converting Analog Data to Digital Data
  • Sampling
  • What should be the sampling rate?
  • Nyquist rate Twice the maximum bandwidth of the
    signal
  • Digitize the sample
  • Quantization error

18
Transmission Medium
  • Type
  • Guided medium - e.g. twisted pair, optical fiber
  • Unguided medium - e.g. air, water, vacuum
  • Characteristic
  • Simplex
  • signal is transmitted in only one direction
  • Half-duplex
  • both station may transmit but only one at a time
  • Full-duplex
  • both stations may transmit simultaneously. The
    medium is carrying signals in both directions.

19
Analog and Digital Transmission
  • (a) Analog transmission all details must be
    reproduced accurately
  • e.g. AM, FM, TV transmission

(b) Digital transmission only discrete levels
need to be reproduced
20
A Generic Long-Distance Link
  • Over distance
  • Signal is attenuated
  • Noise (thermal and electromagnetic) noise gets
    added.
  • Repeaters regenerate signal

Figure 3.7
21
An Analog Repeater
  • Amplify the signal
  • Eliminate distortion using the equilizer
  • Different frequency components are
  • Attenuated differently
  • Delayed differently
  • Noise accumulates

22
A Digital Repeater
  • Amplifier and equalizer mitigate some of the
    channel distortion
  • Goal is not to regenerate the signal but to
    determine the original pulse
  • Regenerate a fresh pulse
  • Noise does not accumulate

23
Advantages of Digital Transmission
  • Digital technology
  • Low cost LSI/VLSI technology
  • Data integrity
  • Longer distances over lower quality lines
  • Capacity utilization
  • High bandwidth links economical
  • High degree of multiplexing easier with digital
    techniques
  • Security Privacy
  • Encryption
  • Integration
  • Can treat analog and digital data similarly
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