Review of Fourier theory, linear system theory, probability and random processes. Modulation and detection. Noise in modulation systems. Introduction to digital data transmission

ECG 460 – ANALOG AND DIGITAL COMMUNICATIONS

Review of Fourier theory, linear system theory, probability and random processes. Modulation and detection. Noise in modulation systems. Introduction to digital data transmission.

Lathi, B.P., Modern Digital and Analog Communication Systems, Third Edition, Oxford University Press, 1998. ISDN: 0-19-511009-9

Eugene E. McGaugh, Associate Professor of Electrical Engineering

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  to familiarize students with the fundamentals of analog and digital communication systems
  
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  to provide students with tools for communication signal analysis
  
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  to familiarize students with various techniques for amplitude modulation and demodulation of analog signals
  
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  to develop the students’ ability to determine the effects of receiver frequency and phase errors in synchronous modulation systems
  
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  to familiarize students with techniques for generating and demodulating narrow-band and wide-band frequency and phase modulated signals
  
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  to familiarize students with basic techniques for generating and demodulating pulse code modulated signals
  
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  to familiarize students with issues pertaining to the transmission of digital signals over bandwidth-limited communication channels
  

Signals and Systems II

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  Introduction to Signals (3 classes)
  
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  Analysis and Transmission of Signals (5 classes)
  
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  Amplitude Modulation (5 classes)
  
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  Angle Modulation (4 classes)
  
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  Sampling and Pulse Code Modulation (4 classes)
  
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  Digital Data Transmission (4 classes)
  
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  Tests (3 classes)
  

Upon completion of this course, students should be able to do the following:

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  apply Fourier analysis to communication signals
  
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  explain how channel imperfections distort signals
  
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  derive the energy or power spectral density of signals
  
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  sketch the spectrum of amplitude modulated signals, given the baseband spectrum
  
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  design simple systems for generating and demodulating amplitude modulated signals
  
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  explain the difference between narrow-band and wide-band angle modulation
  
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  design basic systems for the indirect and direct generation of FM signals
  
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  explain how a simple differentiator FM demodulator operates
  
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  explain how phase-locked loops are used for FM demodulation
  
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  determine the Nyquist sampling rate of a given signal
  
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  explain aliasing
  
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  determine the number of levels in a quantizer given signal-to-noise ratio and maximum input voltage
  
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  describe the different types of line codes
  
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  describe the use of controlled intersymbol interference to achieve maximum data rates
  

Students use MALAB for analysis, problem solving and design

0.5 credit or 16.7%

Lecture 3 hours per week

Engineering Science: 2.5 credits or 83.3%

Engineering Design: 0.5 credit or 16.7%
RELATIONSHIP BETWEEN COURSE AND PROGRAM OUTCOMES

Course outcomes fulfill the following program objectives:

b. An ability to design and conduct experiments, analyze and interpret data, design a system, component, or process using the techniques, skills, and modern engineering tools, incorporating the use of design standards and realistic constraints that include most of the following considerations: economic, environmental, sustainability, manufacturability, ethical, health and safety, social and political.

d. An ability to identify, formulate and solve engineering problems

e. An ability to communicate effectively and possess knowledge of contemporary issues and a commitment to continue developing knowledge and skills after graduation