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Course Info

  • Course Number / Code:
  • 6.341 (Fall 2005) 
  • Course Title:
  • Discrete-Time Signal Processing 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Electrical Engineering and Computer Science 
  • Course Instructor(s):
  • Prof. Alan Oppenheim 
  • Course Introduction:

  • 6.341 Discrete-Time Signal Processing

    Fall 2005

    Course Highlights

    This course features a complete set of lecture notes and assignments which tie directly into the required textbook: Oppenheim and Schafer with Buck, Discrete-Time Signal Processing, 2nd ed, Upper Saddle River, NJ: Prentice-Hall, 1999, ISBN: 0137549202.

    Course Description

    This class addresses the representation, analysis, and design of discrete time signals and systems. The major concepts covered include: Discrete-time processing of continuous-time signals; decimation, interpolation, and sampling rate conversion; flowgraph structures for DT systems; time-and frequency-domain design techniques for recursive (IIR) and non-recursive (FIR) filters; linear prediction; discrete Fourier transform, FFT algorithm; short-time Fourier analysis and filter banks; multirate techniques; Hilbert transforms; Cepstral analysis and various applications.


    I would like to express my thanks to Thomas Baran, Myung Jin Choi, and Xiaomeng Shi for compiling the lecture notes on this site from my individual lectures and handouts and their class notes during the semesters that they were students in the course. These lecture notes, the text book and included problem sets and solutions will hopefully be helpful as you learn and explore the topic of Discrete-Time Signal Processing.

    Technical Requirements

    Special software is required to use some of the files in this course: .m , .mat, and .wav.


This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.

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