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S-38.411 Signal Processing in Telecommunications I

This course will not be lectured anymore and is replaced by S-88.211, Signal Processing in Telecommunications 1.
 

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    • Course Information

    Course Teachers

    Lectures Prof. Timo Laakso
    Tel. 451 2473
    e-mail timo.laakso@hut.fi
    Reception hour Tuesdays 10-11 (New office I331)
    Assistant M.Sc. Stefan Werner
    Tel. 451 2437
    e-mail stefan.werner@hut.fi
    Office: SG209b

    Contents

    Matched filter, Nyquist criterion, raised cosine filtering, general design of pulse shaping filters for transmitter and receiver. Linear equalizer, decision-feedback equalizers transmitter precoding. Zero-forcing and minimum mean square error equalizer. Adaptive equalizer implementation. Optimal maximum likelihood reception, Viterbi algorithm. Echo cancellation. Practical examples of applications to signal processing of mobile communications and digital subscriber lines.

    Schedule (preliminary)

    Lectures: Tuesdays 12-14 S5
     
    Lecture
    Contents
    Downloads
    L1   (Feb 1) Tutorial. Basic elements of a communication system
    lecture 1
    L2   (Feb 8) Channel capacity
    lecture 2
    updated Feb 22
    L3   (Feb 15) Pulse shaping filtering. Matched filter. Nyquist criterion
    lecture 3
    updated Feb 22
    L4   (Feb 22) Optimal linear equalizers for linear channels I
     lecture 4
    L5   (Feb 29) Optimal linear equalizers for linear channels II
     lecture 5
    L6   (Mar 3) Adaptive equalizers I (10-12 in E111)
     lecture 6
    L7   (Mar 7) Adaptive equalizers II
      lecture 7
     --  (Mar 14) No lecture!  
    L8   (Mar 21) Nonlinear receivers I:  DFE equalizers
    lecture 8
    L9   (Mar 28) Nonlinear receivers II: Viterbi algorithm
    lecture 9
    L10  (Apr 4)  Guest lecture I:   DSP for fixed networks, Lic. Tech. Matti Lehtomäki (Nokia Networks)  
    L11  (Apr 11) Guest lecture II:  DSP for Digital Subscriber Lines, Dr. Janne Väänänen (Tellabs)  
    L12  (Apr 18) Guest Lecture III: DSP for CDMA mobile systems, Dr. Kari Kalliojärvi (Nokia Research Center)  
    L13  (May 9) Course review, questions, feedback   
     

    Exercises and Homework

    Exercices: Fridays 10-12, E111

    There will be pencil-and-paper exercises where problems are solved in the guidance of the course assistant. Additional (voluntary) homework problems will be given at the sessions which should be returned in 2 weeks time. The solutions will be graded and they contribute positively to the total grade of the course.
     
    Exercise
    Contents
    Downloads
    E1   (Feb 18) Channel capacity
    Exercise 1
    E2   (Feb 25) Matched filter
    Exercise 2
    E3   (Mar 10)  Adaptive Equalizers 
     Exercise 3
    E4   (Mar 31) Viterbi
      Exercise 4
    E5 (April 28) Project demo

     

    MATLAB project work

    Simple equalizer exercise to be solved in group of maximum 2 students. The instructions and necessary documents can be found here. A demonstration session will be arranged April 28 where detailed instructions will be provided.  If you are unable to attend the demostration please contact the assistant to get a group number!
     

    Exam

    Wed 24.5.2000 9-12 in S4.

    Questions

    If you have problems with the material presented in the course (lectures, homework, exercices etc.) or any other questions regarding the course please fill in our Web-basedform.

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