Digital Communication (Sampling theory)
  Course Plan
   1- Digital Communication: (Sampling theory)
   2- Pulse modulation techniques PPM, PWM and PAM, Pulse code modulation 
   (PCM) 
   3- Noise in PCM
   4- Delta modulation (DM)
   5- Noise in delta modulation systems and Noise in delta modulation systems 
   comparison of PCM &DM 
   6- Adaptive Delta Modulation
   7- Time Division Multiplexing (TDM)
   8- Examples for TDM and Asynchronous TDM
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           Lecture 1-2
   Digital Communication (Sampling theory)
    Course Plan
    9- Amplitude shift- keying (ASK ), bandwidth, power, generation and 
    detection     
    10- Phase shift- keying (PSK) bandwidth, power, generation and detection
    11- Frequency shift keying (FSK) bandwidth, power, generation and 
    detection
    12-M-ray and Quadrature PSK (QPSK)
    13- Quadrature PSK (QPSK) bandwidth, power, generation and detection
    14- Multiple-Access Technologies
    15- Satellite and Wireless communication
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           Lecture 1-2
   Digital Communication (Sampling theory)
    References:
    1. B.  P.  Lathi,  “Modern  Digital  and  Analog  Communication 
       system”, Oxford University press, Inc., 1998.
    2. Bernard  Sklar  “Digital  communications:  fundamentals  and 
       applications”, Prentice-Hall, Inc., 1988.
    3. Ian  Glover  etl  “Digital  Communication”.  Prentice-Hall,  Inc., 
       1988.
    4. John G. Proakis and Masoud Salehi “Digital Communications”, 
       McGraw-Hill Companies, Inc., 2001.
    5. Hwei P. Hsu , “Analog and digital Communications”, Schaum’s 
       outline Series, McGRAW-Hill, 2003.
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          Lecture 1-2
   Digital Communication (Sampling theory)
  Digital signal transmission:
  In digital communication, the information being transferred is represented in digital 
  form, the most commonly as binary digits, or bits. This is in contrast to analog 
  information, which takes on a continuum of values. Most communication systems 
  used for transferring information today are either digital, or are being converted 
  from analog to digital. 
  Experimental  data  and  mathematical  functions  are  frequently  displayed  as 
  continuous  curve,  even  though  a  finite  number  of  discrete  points  were  used  to 
  construct the graphs. If these points, or samples, have sufficiently close spacing, a 
  smooth curve drawn through them allows you to interpolate intermediate values to 
  any reasonable degree of accuracy. It can therefore be said that the continuous curve 
  is adequately described by the sample points alone. In similar fashion, an electric 
  signal  satisfying  certain  requirements  Can  be  reproduce  entirely  from  an 
  appropriate  set  of  samples  the  sampling  theory  gives  the  necessary  conditions 
  needed  to  transmitted  the  sample  values  only  instate  of  sending  the  signal 
  continuously this is pulse modulation. The main different between pulse mod. 
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        Lecture 1-2
   Digital Communication (Sampling theory)
       C.W modulation is in C.W modulation some parameter of the modulated 
    wave varies continuously with the message. In pulse modulation some parameter 
    of each pulse is modulated by a certain sample value of the message usually the 
    pulse are quit short compared to the time between then so a pulse modulated 
    wave is off most of the time.
       This  pulse  modulation  offers  two  advantages  over  continuous  wave 
    modulation.
       1- The transmitted power can be concentrated into short bursts rather than 
    being delivered continuously.
       2- The time intervals between pulse can be filled with samples value from 
    other  message  allowing  the  transmission  of  many  messages  on  one 
    communication system.
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           Lecture 1-2